Alamo Aerospace Engineering Job Listings

Principal Software Engineer63852418619137120

Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: anvilogic.com/customers JOB DESCRIPTION As a Principal Software Engineer reporting directly to the SVP of Engineering, you will be a strategic asset across the entire engineering organization, including our high scale data ingestion and processing pipeline, our advanced workflow features, and our AI agents. You will work directly on company critical projects and act as a mentor and standard bearer for engineers throughout the organization. Develop and evangelize architectural best practices for operating maintainable, high scale systems and review designs and code to ensure those practices are being followed Mentor tech leads across various functional areas in developing non-functional requirements, performing code and architecture reviews, and communicating technical concepts at scale Establish operational rigor within engineering for monitoring, alerting, and responding to incidents Work directly with engineering teams to design, build, and operate key parts of Anvilogic’s infrastructure Requirements Minimum Qualifications 12+ years of software development experience Excellent written and verbal communication skills Significant experience leading large scale, data heavy, company critical projects, through design, development, and operations Experience defining and evangelizing best practices around architecture, operations, and coding guidelines Experience mentoring senior engineers and tech leads in how to communicate technical topics at scale, define non-functional requirements, measure SLOs, and balance tech foundation and product timelines Ability to run openloop, maximizing engineering impact by balancing time spent on direct development, architectural and code review, and mentorship Ability to quickly come up to speed on our tech stack, which is a mix of python and java, deployed on AWS Preferred Qualifications Experience working with large scale data lakes like Snowflake and Databricks or SIEMs like Splunk Experience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK). Experience with observability technologies like Grafana and Sentry Some experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks. Familiarity with security data (e.g., endpoint and network logs) Benefits US Salary Transparency: The base salary range for this full time position is $250,000-$280,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location. Competitive salary with equity in the company Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses

Palo Alto, CA, USA

$250,000-280,000/year

Software Engineer, Infrastructure (Onboard System & Toolchain)63852216555395121

Workable

Software Engineer, Infrastructure (Onboard System & Toolchain)

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility We are seeking a talented Software Engineer to join our Onboard Infrastructure team. In this role, you will collaborate with world-class engineers to design, build, and maintain the core systems and toolchain that empower the development of fully autonomous driving technologies. You will be responsible for both the in-vehicle systems and offline infrastructures that power our end-to-end development cycle—including replay, simulation, and system diagnostics. You will build robust infrastructure to enable efficient performance evaluation, large-scale data processing, and fast iteration for mission-critical systems. Design, build, and maintain scalable and efficient pipelines to support development and deployment of autonomous driving software on vehicle platforms and in offline environments. Optimize build and test performance by analyzing bottlenecks, caching strategies, and test topology. Develop and maintain scalable simulation and replay platforms to evaluate vehicle software behavior Design and implement interactive dashboards and data visualization tools to surface insights across vehicle and simulation data. Collaborate with various engineering teams to ensure the infrastructure supports cross-functional needs, including real-time systems, simulation, and machine learning modules. Requirements Bachelor's degree or above, computer science or related major. 3+ years of professional experience in software engineering. Bachelor's degree or above, computer science or related major. Solid experience developing production-quality software in C/C++, Python Strong understanding of Unix/Linux based operating systems. Proficiency in Git and experience with Git-based development workflows. Exceptional troubleshooting, problem-solving, and communication skills. Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment. Preferred Experience: Proficient in containerization and orchestration, with hands-on experience in container runtimes (e.g., Docker, containerd) and orchestration platforms (e.g., Kubernetes). Proficiency with Bazel or similar large-scale build systems and dependency management tools. Hands-on experience developing with or integrating distributed database systems in diverse environments. Experienced in creating dashboards and reports to communicate analytical insights using data visualization tools (e.g., Metabase). Skilled in backend development with Python, covering API design (REST/GraphQL), distributed data pipelines, and system integration, using modern frameworks and cloud-native practices. Compensation and Benefits Base Salary Range: $130,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Fremont, CA, USA

$130,000-250,000/year

(Senior) Software Engineer, Infrastructure (Kubernetes Platform)63852012437379122

Workable

(Senior) Software Engineer, Infrastructure (Kubernetes Platform)

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibilities As a (Senior) Kubernetes Engineer, you will: Design, operate, and optimize Kubernetes clusters across hybrid cloud environments (public cloud and on-prem datacenter). Support diverse workloads including large-scale model training and low-latency inference services. Develop, maintain, and extend Kubernetes platform features (operators, CRDs, APIs) to automate and productize internal use cases. Own cluster lifecycle management including upgrades, patching, configuration, and governance. Define and enforce best practices for service deployments, security policies, and operational guidelines. Contribute to observability and SRE practices to ensure reliability at scale (SLOs, incident reviews, metrics-driven improvements). Collaborate with storage, compute, and networking teams (CNI, ingress, service discovery) to enhance automation, availability, and performance. Provide technical mentorship, documentation, and on-call support for cluster-related incidents. Requirements Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience. 3+ years of hands-on experience managing Kubernetes clusters in production (EKS/GKE/AKS and/or bare-metal). Strong Linux systems background and distributed systems fundamentals (scheduling, reliability, scaling). Proven experience with hybrid cloud environments (AWS, GCP, Azure, and on-prem). Expertise in containerization (Docker) and Infrastructure-as-Code tools (Terraform, Helm, Ansible, or similar). Experience developing and maintaining Kubernetes platform features (operators, CRDs, APIs). Solid knowledge of Kubernetes networking (CNI, ingress, service discovery), storage, and compute integrations. Strong understanding of security best practices (RBAC, network policies, secrets). Effective communication skills and ability to work cross-functionally in a fast-paced environment. Preferred Experience Programming skills in Go and/or Python for operator development, platform automation, and tooling. Experience with observability and SRE practices (Prometheus, Grafana, ELK, Datadog; SLOs, incident response, postmortems). Familiarity with workloads common to AI/ML systems (training, inference). Compensation and Benefits Base Salary Range: $120,000 - $240,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Fremont, CA, USA

$120,000-240,000/year

Web App Tech Lead, IKEA Kreativ63851904300803123

Workable

Web App Tech Lead, IKEA Kreativ

Geomagical Labs builds and operates the pioneering IKEA Kreativ 3D+AI app, used by tens of millions of people, in partnership with IKEA. About the role We have an opening for an ambitious, hands-on, web technical lead, with strong Computer Science foundations, and expert Javascript, Typescript & React Web Engineering skills, to lead our flagship web application team. As our Web Engineering Tech Lead, you will design & engineer compelling features and smart architectures --- linking the UI, 3D engine, AI pipelines, and cloud microservices. In this role you will be expected to: Be the ambitious tech leader of a 5 person web tech team. Design, build, and innovate our IKEA Kreativ 3D web apps and features --- making them successful and loved by customers. Be the go-to expert for challenging front-end tech issues. Make awesome software, and make your team more awesome. Promote wise practices, leading to stability & velocity. Reliably coordinate roadmaps with distributed tech teams. Work closely with IKEA for an integrated IKEA experience. Drive Geomagical’s cultural values & leadership principles. Requirements Strong foundations in Computer Science. Expert skills with modern Javascript/Typescript languages. Expert skills developing within React framework. Mastery of Internet technologies & modern web stacks. 5+ years engineering full-stack codebases live in production. Success guiding 3+ person tech teams for important projects. Proven success solving complex systems engineering problems. Familiar with best practices of web devops, CI/CD and QA. USA resident + can adjust calendar for meetings with Europe. BONUS: Experience building consumer internet apps desired. BONUS: Experience programming 3D graphics technologies. BONUS: Startup experience preferred. Benefits Big role --- Highly-visible product used by tens of millions. Interesting technology --- Convergence of mass-scale product usage, lovable UI, hybrid client-cloud architecture, modern 3D graphics, and breakthrough visual AI. Noteworthy team --- Opportunity to work in a dynamic team of successful serial entrepreneurs, engineers, computer vision & AI researchers, and graphics engineers. Flexible location --- Our team is distributed globally, any nearby timezone is great as long as you are a USA resident, and can overlap with both US Pacific and Europe CET work hours for meetings as needed. Eastern Time is preferred. Good benefits --- USA salary ranges from $180,000 to $220,000 (determined by location, skill, and experience), plus annual performance bonus, based on team & company OKRs. Excellent health and retirement benefits.

Palo Alto, CA, USA

$180,000-220,000/year

Mechanical Engineer - Implantable Drug Delivery Systems63851903560577124

Workable

Mechanical Engineer - Implantable Drug Delivery Systems

We are seeking a detail-oriented Mechanical Engineer to drive product design and development for implantable drug delivery systems. The ideal candidate will have extensive experience in medical device design, a rigorous approach to design for manufacturability (DFM), expertise in geometric dimensioning and tolerancing (GD&T), and a solid grounding in Good Manufacturing Practice (GMP). Familiarity with unique challenges and regulatory requirements for implantable devices, and a strong orientation toward application-specific tolerances is desired. Come Join Us! You'll be part of a talented and dedicated team of engineers, scientists, and other professionals at Vivani Medical, an emerging biopharmaceutical company developing a pipeline of miniature, long-term drug implants with its proprietary NanoPortal™ platform technology for obesity/weight management and other chronic diseases. Key Responsibilities Drive the mechanical design of implantable drug delivery systems, from conceptualization through commercialization, with a focus on meeting demanding implantable device standards. Apply design for manufacturability principles early in the design phase to ensure robust, scalable, and regulatory-compliant implantable products. Ensure all designs are fully compliant with relevant GMP, FDA, and ISO requirements specific to long-term implantable medical devices. Assign all tolerances and material selections with clear justification tied to the end-use environment (e.g., biocompatibility, sterilizability, in-body durability), and anchored in URS and clinical requirements. Collaborate closely with cross-functional stakeholders (R&D, manufacturing, regulatory, clinical) to capture and implement requirements unique to implantation, such as long-term reliability and risk management. Participate actively in design reviews, Design History File (DHF) creation, risk analyses, and verification/validation activities, with emphasis on the unique aspects of implantable device safety and performance. Support the transition from prototyping to scaled manufacturing, addressing material selection, assembly, and cleaning processes suitable for implantables. Document design decisions thoroughly for full regulatory traceability and audit readiness. Requirements Bachelor’s degree in Mechanical Engineering (or related biomedical engineering field) A minimum of 6 years of medical device experience. Product design experience for implantable medical devices. Experience with design, development, and manufacturing transfer of implantable drug delivery devices or other active implant systems. A proven track record in meeting clinical and regulatory requirements. Deep understanding of GMP and regulatory demands of implantable devices (including design history files, design controls, risk management). High-level proficiency in design for manufacturability, specifically for products requiring robustness in vivo, sterilization compatibility, and miniaturization. Strong command of GD&T for precision assemblies, with hands-on experience assigning and reviewing tolerances High proficiency with solid modeling and drawing software (SolidWorks, AutoCAD, or similar), and engineering documentation in a regulated environment. Skillful at translating user needs into clear, actionable URS - including consideration of implant environment, mechanical stresses, and biocompatibility. Effective communicator with a collaborative spirit who's also adept at dealing with shifting priorities (flexible). The role requires 3 days in the office. Legally authorized to work in the US Salary range: $140-$175K Benefits Medical Dental and Vision Flexible Spending Account (FSA) 401K with Company Safe Harbor Match: 100% /up to 4% Life Insurance Long Term Disability Home Office Stipend Commuter benefits

Alameda, CA, USA

$140,000-175,000/year

Workable

AI Software Engineer

We are seeking an AI Software Engineer with a proven track record of building complete end-to-end AI products from scratch in startup environments. You'll design, develop, and deploy autonomous AI systems from conception to production. We're looking for fast learners who embrace challenges and have experience shipping AI products independently in high-growth, resource-constrained environments. Responsibilities Build and ship complete end-to-end AI products and intelligent agents from concept to production Design autonomous systems and multi-agent architectures that solve complex problems Deploy AI agents to production with focus on reliability and performance Rapidly prototype and iterate on AI solutions in fast-paced startup environments Take full ownership of projects and drive them to completion with minimal supervision Integrate state-of-the-art AI models (LLMs, computer vision) into production applications Requirements Qualifications Startup experience or ability to thrive in fast-paced, resource-constrained environments Fast learner who adapts quickly to new technologies and changing requirements Demonstrated ability to work independently and take full ownership of complex projects Strong software engineering fundamentals and Python proficiency Experience with AI frameworks and LLM integration Preferred Track record of launching AI products from scratch and scaling them Experience with agent frameworks Background in NLP or computer vision applications

We are assisting an on-demand, autonomous ride-hailing company in hiring an engineering-focused Vehicle Technician to support the readiness of its fleet vehicles. In this role, you will perform maintenance, repairs, and fleet reworks and contribute to the operations of our workshop. This will include scheduled/preventative maintenance and services, diagnostics, repair coordination, and general vehicle upkeep. We're looking for someone with extensive knowledge of the maintenance and repair of vehicles. The ideal candidate will have at least 5 years of prior automotive technician experience. As a Vehicle Technician, you'll: Perform high-quality repairs and inspections efficiently and accurately according to work instructions and document findings/results in a specialized service platform. Conduct multi-point inspections and system checks, making appropriate recommendations to ensure the safety and reliability of fleet vehicles. Inspect and test all work performed as a Quality Control (QC) measure as soon as jobs are completed. Be willing/able to travel locally from time to time to configure, set up, maintain, diagnose, and sign off on vehicles for safe on-road usage. Build an excellent service experience for internal teams and business partners. Assist with parts/tools inventory, location, and organization, ensuring that technician tools and shop facilities are in excellent working condition. Operate all equipment in the service center in a safe and productive manner, following safety standards for the use of personal protective equipment (e.g., safety glasses, gloves, hearing protection) while working on the production floor. Understand and follow federal, state, and local regulations that affect service center operations, such as hazardous waste disposal, OSHA guidelines, etc. Requirements Extensive knowledge of methods, techniques, parts, tools, and materials used in the maintenance and repair of vehicles Minimum of 2 - 4 years of technician experience Clean/excellent driving record Reliable, self-starter, roll-up-the-sleeves work ethos Ability to multitask and manage multiple projects and deliverables Team player Excellent written and verbal skills Must be honest, responsible, and an outstanding communicator Benefits Pre-tax commuter benefits Employer-subsidized healthcare benefits Flexible Spending Account for healthcare costs All costs covered for short- and long-term disability and life insurance 401k package Commitment: This is a full-time, ongoing contract position, open to candidates local to the Foster City, CA area. contract position, open to candidates local to the Foster City, CA area.

Foster City, CA, USA

Negotiable Salary

Senior/Staff Antenna Design Engineer63850904858881127

Workable

Senior/Staff Antenna Design Engineer

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Oura Values guide how we show up for each other and our community every day. We are looking for a Senior/Staff Antenna Design Engineer to join our hardware team in San Diego or Sanfrancisco.. This person will be working with a multidisciplinary team developing our future product development efforts. What You’ll Do Design, simulate, and optimize antennas for low-power wearable devices, including multi-band solutions. Build prototypes quickly and effectively to evaluate design concepts Collaborate cross-functionally with mechanical, electrical, and firmware teams to integrate antennas into highly constrained form factors. Perform electromagnetic simulations (e.g., HFSS, CST, FEKO) and validate designs with bench and OTA measurements. Conduct over-the-air (OTA) performance testing and troubleshooting in collaboration with test engineering teams. Drive root cause analysis and design iteration for antenna performance issues in prototypes and production units. Work with suppliers, CM partners, and manufacturing teams to ensure antenna performance is maintained throughout production. Document design processes, results, and performance metrics for internal knowledge sharing and regulatory compliance. Stay up to date on emerging materials, methods, and technologies in miniature antenna design. Travel to support prototype builds in both Asia, Europe, and North America: ~15-20% of time yearly Requirements Bachelor’s or Master’s degree in Electrical Engineering, Physics, or a related field. 5+ years (Senior-level) to 10+ years (staff-level) experience in antenna design, preferably for compact consumer electronics, wearables or IoT devices. Proficiency with electromagnetic simulation tools such as Ansys HFSS, CST Microwave Studio, or FEKO. Experience with antenna measurement tools (e.g., vector network analyzers, OTA chambers). Strong understanding of RF fundamentals, matching networks, and PCB layout considerations for antennas. Proven ability to collaborate across disciplines and communicate technical concepts clearly. Knowledge of Industry Standards and Regulatory Requirements: Be familiar with industry standards and regulations related to wireless communication, such as those from the FCC, ETSI, or ITU. do Preferred: Experience designing antennas for wearable or ultra-compact devices. Familiarity with Bluetooth, BLE, NFC, UWB, GPS, and multi-band antenna solutions. Knowledge of SAR compliance and RF regulatory requirements. Experience working with overseas manufacturing partners. Benefits Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. San Diego Compensation Range: $150,000 to $215,000 (Senior/Staff Range San Francisco Compensation Range: $162,000 to 230,000 (Senior/Staff Range) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of Fake Job Offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

San Francisco, CA, USA

$150,000-215,000/year

Senior/Staff Electronics Engineer (Field Failure Analysis & Investigations )63850903691137128

Workable

Senior/Staff Electronics Engineer (Field Failure Analysis & Investigations )

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day. We are looking for two highly skilled and experienced Senior/Staff Electronics Engineers to lead the in-depth investigations and field failure analysis of electronic systems and components. This is a key technical role, responsible for pinpointing the root cause of failures, leading teardowns, and implementing corrective actions to mitigate future issues. You will be at the core of our Engineering Field Failure Analysis (EFFA) program, working closely with the Quality department, Member Experience, and Data Analytics teams. The ideal candidate will have a strong background in failure analysis of electrical systems, electronics testing methods, and circuit design. As a senior team member, you will also provide technical leadership and collaborate cross-functionally to drive effective solutions that enhance product reliability and improve the customer experience. This is a hybrid role in our San Francisco office (2-3 days) What you will do: Field Failure Analysis & Investigations: Lead detailed failure analysis and teardowns of low-power electronics at the system and component level. You'll work with products returned from the field, using a data-driven approach to pinpoint the exact root cause of failure. Corrective and Preventive Action (CAPA) Ownership: Take full ownership of the CAPA process for electronics failures, from initial investigation through to verification of the implemented fix. You will drive the implementation of corrective actions and mitigations based on your analysis. Risk Assessment: Evaluate the risk of new components or design changes based on field failure data, providing clear, data-backed recommendations to the hardware team to prevent future issues. Technical Reporting and Communication: Prepare and present detailed technical reports and summaries of failure investigations to a wide range of audiences, from engineering peers to executive leadership, influencing product and business decisions. Component Management: Evaluate and select alternative components (2nd sources), ensuring availability and cost-effectiveness without compromising quality. Your work will be a direct outcome of investigations into component-related failures. Production Testing & Optimization: Review and improve production test coverage for electronics. This includes reviewing schematics and PCB layouts to identify potential optimizations that enhance system performance and manufacturing test effectiveness. Cross-functional Collaboration: Collaborate with cross-functional teams including mechanical, firmware, manufacturing, and quality engineers to drive effective solutions and improvements. Vendor & Partner Management: Work with suppliers, manufacturing partners, and technology providers to deliver the desired quality of components and services. Your focus here will be on partnering to resolve identified failure modes. Requirements We would love to have you on our team if you have: Experience: Minimum of 7+ years of experience in electronics design and verification, with at least 3-5 years in a senior engineering role, including project leadership. Senior/Staff offer will depend on overall experience and interviews. Education: Bachelor’s or Master’s degree in Electrical/Electronics Engineering or a related technical field. Technical Expertise: Deep expertise in troubleshooting electrical systems and failure analysis including analog and digital circuit design, Bluetooth, wireless power transfer, high-speed interfaces, power management, and embedded systems. Hands-on experience with building and validating prototypes, using lab equipment such as oscilloscopes, network analyzers, and spectrum analyzers. Tools & Methodologies: Experience with design tools such as schematics and layout tools (e.g., Altium) and signal/power integrity analysis. Strong technical troubleshooting and root cause analysis skills. Demonstrated experience with CAPA processes and technical risk assessment. Leadership: Proven ability to interact within engineering teams and deliver complex, multi-disciplinary projects. Communication: Excellent verbal and written communication skills to work effectively across internal teams and external partners, including the ability to present technical findings to non-technical audiences. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own, and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Lunch benefit Wellness benefit Personal learning & development program Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. San Francisco Salary Range: $162,000 to $230,,000 (Senior/Staff range) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards We will never ask for personal information like ID or payment for equipment upfront Official offers are sent through Docusign after a verbal offer, not via text or email Stay cautious and protect your personal details To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

San Francisco, CA, USA

$162,000-230,000/year

Internship: Software Engineer63850901553411129

Workable

Internship: Software Engineer

Zams is an AI command center for B2B sales teams. It connects to the tools you already use—Salesforce, Hubspot, Slack, Apollo, Gong and more—and turns them into one seamless system. Instead of clicking through tools, you just say what you want in English and Zams does it. We’re a small, scrappy team backed by some of the top venture capital firms in the US, moving fast with a strong bias for action and attention to detail. Joining Zams now means stepping onto the ground floor of a company with a massive mission and momentum. You’ll have the chance to make an outsized impact, see your ideas go from concept to reality in weeks, and play a direct role in shaping how companies everywhere adopt AI. It’s the perfect environment for someone who thrives in fast-paced startups, wants to learn quickly, and is ready to grow alongside a team that’s defining the future of sales. About You As a Software Engineering Intern at Zams, you’ll play a hands-on role in building and testing the systems that power our platform. You’ll work on backend services, data flows, and integrations that directly impact how our customers automate work. Alongside coding, you’ll gain real-world experience in designing reliable systems, writing automated tests, and learning the trade-offs that come with scaling early-stage products. We’re looking for someone who’s curious, resourceful, and eager to learn quickly. You should enjoy solving technical problems, writing clean code, and experimenting with new tools. If you’re excited to work closely with the founding team, ship features fast, and grow as an engineer, we’d love to meet you. Responsibilities Build and maintain backend services, APIs, and integrations with external tools (e.g., HubSpot, Slack, Apollo). Contribute to database modeling, query optimization, and data pipelines. Write unit, integration, and end-to-end tests to ensure system reliability. Debug, troubleshoot, and resolve issues across services and infrastructure. Collaborate with frontend engineers and product team to deliver full-stack features. Deploy and monitor applications in cloud environments (e.g., Vercel, AWS). Explore and use AI-powered developer tools (e.g., Cursor, coding copilots) to accelerate workflows. Continuously learn and apply new backend frameworks, patterns, and best practices. Requirements Currently pursuing a degree in Computer Science, Software Engineering, or a related field. Strong understanding of backend programming fundamentals (APIs, data structures, algorithms, concurrency). Experience with LLMs Experience with at least one backend language/framework (e.g., Python/Django, Node.js/Express) Interest in testing frameworks and best practices for ensuring reliability. Excited to work in a fast-moving startup environment with autonomy and ownership. Can work 40 hours a week Benefits A fast-moving, supportive startup culture that values experimentation and creativity. Opportunity to work with cutting-edge AI systems, tools, and frameworks. Learn and grow rapidly alongside a talented and collaborative team. Work at the intersection of backend engineering, AI, and creative testing.

San Francisco, CA, USA

Negotiable Salary

AI Software Engineer Intern638503618319371210

Workable

AI Software Engineer Intern

We are seeking an AI Software Engineer Intern who has built AI projects from scratch and thrives in fast-paced startup environments. You'll contribute to building end-to-end AI products and intelligent agents while learning from experienced engineers. We're looking for quick learners who embrace challenges and have demonstrated building experience. Responsibilities Contribute to building end-to-end AI products and intelligent agents Help implement autonomous systems and multi-agent architectures Assist in deploying AI agents to production environments Rapidly prototype AI solutions and iterate based on feedback Take ownership of assigned projects with guidance from senior engineers Requirements Required Demonstrated experience building complete AI projects from scratch (personal projects, hackathons, coursework) Fast learner who adapts quickly to new technologies Strong Python programming skills Strong understanding of LLMs and AI agents Preferred Experience with agent frameworks Basic cloud deployment experience Previous startup internship experience Participation in AI hackathons or competitions

Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a leading computer vision platform by IDC. Role Description We are looking for a Solutions Engineer (US-based) to join our team. This is a full-time role that will have a pivotal impact in bridging technical expertise with customer success, enabling sales through impactful presentations, product demonstrations, proof-of-concepts, and hands-on technical guidance. This role involves frequent collaboration with account executives, customers, and technical teams to deliver compelling solutions that align with business needs and drive adoption of our AI technology. The Solutions Engineer must thrive in customer-facing environments, feel comfortable with travel for on-site engagements, and bring strong technical depth combined with excellent communication and presentation skills. This role is ideal for someone who can explain complex technologies simply, while also engaging in detailed technical problem-solving with customer teams. Key Responsibilities Pre-Sales Support: Lead customer interaction from a technical perspective from pre-sales to implementation. Understand customer requirements, design tailored solutions, and present technical value propositions. Customer Presentations & Demos: Deliver compelling on-site and virtual presentations, live product demonstrations, and solution workshops that showcase the capabilities of our technology. Proof-of-Concepts: Lead technical evaluations and pilots, working hands-on with customer teams to validate use cases and accelerate adoption. Travel & On-Site Engagements: Engage directly with customers on-site (including travel to Fortune 500 client locations) to assess environments, provide technical recommendations, and ensure solution success. Cross-Functional Collaboration: Work closely with product, engineering, and solutions teams to translate customer needs into technical features and roadmap insights. Solution Design & Documentation: Create solution architectures, deployment plans, and technical documentation that support sales cycles and customer success. Relationship Building: Establish trust with customer technical stakeholders, becoming a trusted advisor throughout the sales process and beyond. Feedback Loop: Provide actionable feedback from the field to product and engineering teams, helping shape features and strategy. The ideal candidate should be deeply passionate about machine learning and its real-world applications, particularly in improving and leveraging state-of-the-art neural networks to make an impact. Requirements Strong technical background with experience in AI, computer vision, or machine learning solutions. Experience supporting product teams through technical discovery, demos, and proof-of-concepts. Excellent presentation, communication, and interpersonal skills with both technical and business audiences. Familiarity with cloud platforms (Azure, AWS GCP), containerization (Docker, Kubernetes), and modern deployment practices. Strong problem-solving skills with the ability to tailor solutions to customer needs. Comfort with travel for customer meetings, site visits, and technical workshops. Experience creating technical documentation, proposals, and solution architectures. Ability to work independently while collaborating closely with sales, product, and engineering teams. Bachelor’s degree in Engineering, Computer Science, Business, or a related field (or equivalent professional experience). Benefits Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance policies included.

San Mateo, CA, USA

Negotiable Salary

Technical Lead, Transaction638501579893791212

Workable

Technical Lead, Transaction

We’re looking for a technical leader with deep marketplace experience to own and scale the technology behind Station A’s clean energy marketplace. This is the engine that transforms clean energy opportunities into real projects by connecting buyers and providers through open, transparent competition. The ideal candidate thrives in an early-stage, fast-moving environment, but insists on building scalable systems, shaping technical culture, and translating engineering excellence into marketplace growth. About the role Finding clean energy opportunities is only the first step. The real challenge is getting projects transacted and built at scale. Today, most transactions in clean energy are slow, opaque, and manual. Buyers struggle to get competitive, apples-to-apples bids. Providers spend enormous time chasing projects that go nowhere. The result is higher costs, wasted time, and fewer megawatts deployed. At Station A, our marketplace changes this dynamic by creating open, standardized, and transparent workflows for clean energy transactions. Buyers get firm, competitive pricing. Providers gain efficient access to qualified projects. And the market as a whole benefits from lower origination costs and faster deployment. This role is about leading the technology that powers our transaction platform. You will own the marketplace stack that enables project listing, bidding, evaluation, and award. You will ensure our systems are scalable, trusted, and efficient as we grow to thousands of projects and billions in clean energy transactions. If you’re excited about scaling a marketplace that drives liquidity, efficiency, and trust in one of the most important markets of our time, we’d love to talk. Who we are Station A is a technology company reimagining how clean energy is bought and sold. Our remote-first team is made up of climate-minded technologists, strategists, and operators committed to making climate action a no-brainer for everyone. We combine proprietary software with industry expertise to guide commercial real estate owners and operators through their decarbonization journey, starting with evaluation of their portfolios and culminating in transactions through our clean energy marketplace. Compensation Company stage: Series A (post fundraise) Reports to: Head of Product Preferred Locations: San Francisco, Los Angeles, elsewhere in CA (Remote OK) We believe in pay transparency. The annual base salary for this role is $165k - $210k, with performance-based annual bonus and stock options. Learn more about our benefits here. What you’ll do As Technical Lead, Transaction, you’ll combine hands-on engineering with leadership to grow and scale Station A’s marketplace platform. You will: Own the architecture and scalability of the marketplace platform, including project posting, bidding, evaluation, and award workflows. Design and deliver full-stack product features that simplify and standardize transactions for buyers and providers. Improve marketplace trust and efficiency by developing systems that handle repeat bidding, bid comparisons, and transparent reporting. Set and uphold engineering standards for reliability, performance, and maintainability. Mentor engineers and model best practices, helping the team scale while raising the technical bar. Collaborate cross-functionally with Product, Design, Sales, and Marketplace Services to align marketplace features with business goals and user needs. Plan for scale by designing systems that can support higher project volume, new transaction types, and increased liquidity. Requirements You might be a fit if you have… 8+ years of professional software engineering experience, including ownership of a multi-sided marketplace, platform, or transactional product. Proven ability to design and scale complex systems that support workflows, bidding, payments, or contracts. Strong experience with modern web stacks (Python, TypeScript, SQL databases), and comfort with cloud infrastructure (GCP or equivalent). Knowledge of marketplace dynamics such as liquidity, trust & safety, pricing transparency, and incentive design. Familiarity with fintech integrations (payments, KYC/AML, escrow, etc.) or enterprise contracting systems. Ability to mentor engineers and grow a culture of quality, ownership, and learning. Strong communication skills, especially the ability to translate technical tradeoffs into business impacts. Bonus points for… Prior experience building B2B marketplaces or transactional SaaS platforms. Exposure to clean energy, infrastructure, or climate tech. Experience with smart contract systems or innovative contracting/payment tech. A strong personal network of engineers who would want to work with you again. Why this role matters Marketplace growth is core to Station A’s business. This role is responsible for the technology that makes transactions fast, fair, and scalable. Liquidity and efficiency are everything in marketplaces. You will design the systems that drive trust and repeat use by both buyers and providers. This is about impact at scale. Every deal closed through Station A means megawatts of clean energy deployed and millions in origination costs saved. Location & Travel Preferred: San Francisco, Los Angeles, or California-based to align with core engineering hours and enable periodic in-person collaboration. Anticipated travel: 1x/year for all-company retreat; quarterly engineering meetups (2–3 days each). Benefits We’re committed to supporting a healthy, sustainable life outside of work: Remote-friendly work environment (U.S.-based) with coworking options Flexible PTO Monthly remote work stipend ($50/mo or $600/yr) Learning & development budget to support your professional growth Comprehensive medical, dental, and vision insurance (including FSA and HSA options) 401(k) plan, with matching on the roadmap 12-15 paid holidays annually Why you might be excited about this role You believe transactions should be simpler, faster, and more transparent, and you are excited to drive standards that make clean energy deals as seamless as buying software. You see the potential for technology to reduce friction and waste in an industry that is still analog and fragmented. You’re motivated by the idea that every workflow you simplify or automate could unlock more projects, more savings, and more megawatts deployed. You’re excited to apply your engineering leadership toward systems change with real carbon impact. You enjoy building teams, mentoring, and leaving systems better than you found them. Our Commitment We believe diverse perspectives fuel better ideas and stronger outcomes. If you are excited about this role—even if you don’t meet 100% of the qualifications—we encourage you to apply. Station A is an equal opportunity employer committed to building an inclusive, respectful workplace. Hiring decisions are based solely on qualifications, merit, and business needs.

San Francisco, CA, USA

$165,000-210,000/year

Senior Frontend Engineer - New Business638500568040991213

Workable

Senior Frontend Engineer - New Business

Skylight is a technology startup based out of Los Angeles and San Francisco. Our mission is to connect loved ones by creating the world’s simplest products and services that improve family life. We make consumer products, like Skylight Frame and Skylight Calendar, that are loved by millions of people across the globe. Our founders are former venture capitalists and serial entrepreneurs, who have scaled this business to $180M+ in annual revenue while being completely bootstrapped and profitable. We think often about the thousands of smiles we are able to put on our customers’ faces each day, and it fills our hearts with purpose. That’s why we have been working hard to expand our team and invent, so that we can continue to bring the magic of Skylight to millions of loved ones throughout the world. In this role, you’ll be joining a “startup within a startup,” owning the mobile side of things for a new business at Skylight. You’ll be confident building whole features on your own, while working closely with the core team to follow best practices and review one another’s code. You have a keen interest in not just what you’re building, but why you’re building it, working closely with Product to trim scope whenever possible to best serve the user. You value good UX and are interested in delivering the simplest solutions to solve pains and delight users. Our ideal candidate is well-versed in all things React and React Native, from best practices in release management to the ins and outs of the Android and iOS App Stores. We’re looking for someone who can contribute to the entire frontend development process, beginning with collaborating with Design and Product through planning and working with other engineers/teams, execution, and release. Responsibilities Collaborate with product managers, designers, and other engineers to develop and implement new features Write high-quality, reusable, and maintainable code in React and React Native Contribute to and maintain a comprehensive test suite to ensure the quality and stability of the application Optimize application performance and improve the user experience Implement best practices in our build and deployment processes Ensuring that our architecture enables scaling both our team and user-base Establishing processes for monitoring performance, device logs, and exceptions Mentor and guide other Front End engineers on the team Participate in code reviews and provide constructive feedback to improve code quality Requirements Extensive experience (5+ years) developing React Native & Typescript Strong understanding of frontend architecture and design patterns Expertise in the release management cycle Excellent problem-solving and analytical skills Strong verbal and written communication skills Ability to work in a team environment and collaborate effectively with others Passion for learning and staying up-to-date with new technologies and trends Benefits Benefits Our competitive compensation package includes: Competitive Salary + Equity Package 401K matching Wellness, learning, and home-office budgets Health, Dental & Vision Medical Plans Tremendous autonomy to set the direction of your work Unlimited PTO Company holidays on the first Friday of every month (Except November & December) About Skylight Skylight is a technology startup based out of Los Angeles and San Francisco. Our mission is to make technology that brings families together. We make consumer products, like Skylight Frame and Skylight Calendar, that are loved by millions of people across the globe. Our founders are former venture capitalists and serial entrepreneurs, who have scaled this business to $180M+ in annual revenue while being completely bootstrapped. We think often about the thousands of smiles we are able to put on our customers' faces each day, and it fills our hearts with purpose. That's why we have been working hard to expand our team and invent, so that we can continue to bring the magic of Skylight to millions of loved ones throughout the world. At Skylight, we have three core principles that guide our work and help us manage the business day to day: autonomy, rigor, and care. These principles show up early and often and help guide the work we do and the way we work. Equal opportunity employer Skylight is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board! We hire across the U.S., but for legal reasons, we have to list NY and CO separately. For Colorado-based candidates, the range being offered for this role is $ 180K-220K based on experience and for California-based candidates, the range being offered for this role is $ 180K-220K based on experience. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories in a manner consistent with the requirements of this law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

San Francisco, CA, USA

$180,000-220,000/year

Lead Firmware Engineer638498391642891214

Workable

Lead Firmware Engineer

The Company Rocky Talkie launched in late 2019 with its signature product, a backcountry radio made for climbers and skiers. Since then, we have launched multiple best-in-class products and are well-known in the adventure sports industry. We are committed to making easy-to-use and durable radios for use in the backcountry, paired with best-in-class customer service. Rocky Talkie has a rapidly growing base of happy customers in the USA and Canada. Although we initially designed our radio with climbers and skiers in mind, our products have been embraced by a wide variety of outdoor enthusiasts and commercial applications. We have a small, passionate, and highly motivated team with a deep understanding of our products and customers. With more products in the works for 2024, we would love your help in making the next generation of Rocky Talkie products a reality. At Rocky Talkie, we’re driven by the belief that better communication in the backcountry can save lives. As part of this mission, we donate $2 per radio sold to search and rescue teams around the country, supporting those who help keep outdoor communities safe. Learn more about our company here. The Role We are seeking a Lead Firmware Engineer with extensive experience in hardware development and consumer electronics to join our engineering team at Rocky Talkie in San Francisco. You will be the sole firmware engineer at Rocky Talkie for now, owning the firmware stack end-to-end and collaborating closely with our Director of Engineering. This is an opportunity to take full technical ownership of firmware development for Rocky Talkie radios and accessories, while contributing to an innovative company committed to revolutionizing backcountry communication. We’re bringing our streamlined, rugged, and activity-focused design principles to new products that improve safety in adventure sports and inject fresh thinking into an outdated 2-way radio industry. This role is most suitable for a passionate and experienced Firmware Engineer who has shipped consumer electronics in high volume (>100ku/yr). Rocky Talkie is growing quickly and we will be actively looking to further expand our engineering team with your help. Opportunity for growth is abundant and excellence is recognized and rewarded. At Rocky Talkie, we embrace the fast-paced nature of a start-up environment and are looking for someone with a strong ability to work at multiple stack layers and with different MCUs/SoCs. If you’re passionate about creating life-saving communication tools for outdoor enthusiasts and have a solid background in firmware development for consumer electronics, we want to hear from you! The role is on-site in San Francisco (our engineering team is typically in the office 5 days a week). The Responsibilities Architect, design, and test firmware running on a variety of platforms from low-power MCUs to mobile SOCs. Contribute to hardware architecture via MCU/SoC selection, communication interface requirements, driver implementation, and tooling development. Define and implement firmware development, debug, and CI workflow and environment. Engage and direct development partners and/or contractors to ensure full system coverage. Travel to Asia for key design, bring-up, and NPI build milestones with our development and manufacturing partners. Requirements Experience working independently where processes and systems are not yet defined. 5+ years of experience owning and delivering firmware for consumer electronics that have shipped in high volume (>100ku/yr). High level of expertise in C/C++, Python, and firmware build & debug tools. Experience in one or more of the following: Bluetooth Classic Audio, LE Audio, Bluetooth Low Energy, Zephyr RTOS, Bootloaders. Comfortable using electrical test equipment (power supplies, oscilloscopes, logic analyzers, RF communications testers). Excellent written & verbal communication skills. Experience working at a start-up or small company and the inherence DIY mindset that comes with the enviroment. Experience traveling to builds in Asia, and available to travel to Asia 2-3 times a year BS or MS in EE, CE, CS, or equivalent. Live in the San Francisco Bay Area, and work from the office 5 days a week Not Required, but Desired Experience with RF products outside of BT/WiFi (e.g. VHF/UHF) Experience with Nordic, Cypress/Infineon, and/or Qualcomm MCUs/SoCs. Experience with CI/CD infrastructure. A love of the outdoors and an understanding of why we do what we do Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Sick Leave Paid Holidays Paid Parental Leave 100% Paid Short Term & Long Term Disability Annual Salary Range: $140,000 - $175,000

San Francisco, CA, USA

$140,000-175,000/year

Technical Lead, Evaluation638498388540171215

Workable

Technical Lead, Evaluation

We’re looking for a technical leader with a bias for quality, systems thinking, and impact to spearhead the engineering behind Station A’s geospatial evaluation platform, the engine that identifies the most financially viable clean energy opportunities in the market. This role is ideal for someone who thrives in an early-stage, fast-moving environment, but insists on building the right long-term systems: balancing speed with maintainability, enabling the team to scale, and creating the technical foundation for the next decade of growth. About the role In the next 30 years, every part of our built environment will need to transform to support a more resilient, independent, and decarbonized grid. Rising demand from data centers, electrification of everything, and an aging power grid are creating unprecedented pressure and unprecedented opportunity for clean energy deployment. The problem? Origination. Most clean energy projects fail long before they are built because developers spend enormous time and money qualifying sites, collecting data, assessing interconnection, and navigating zoning, only to discover too late that projects will not pencil. In fact, as much as 80% of projects stall or die, representing billions in wasted costs and years of lost time. At Station A, we are solving this bottleneck. Our evaluation platform combines geospatial data, analytics, and automation to rapidly identify the most financially and technically viable clean energy opportunities before a project starts. In the past year alone, we have evaluated over 85 GW of projects, surfacing billions in potential investment. This role is about leading the technology behind that evaluation engine, scaling it to be the fastest, most accurate, and most trusted way to identify clean energy opportunities in the market. By joining, you will help build the technical foundation that enables cleaner, cheaper, and more reliable power for businesses and communities across the country. Whether or not you have worked in climate tech before, if you want your engineering leadership to tackle a mission-critical challenge at the intersection of energy, infrastructure, and technology, we would love to talk. Who we are Station A is a technology company reimagining how clean energy is bought and sold. Our remote-first team is made up of climate-minded technologists, strategists, and operators committed to making climate action a no-brainer for everyone. We combine proprietary software with industry expertise to guide commercial real estate owners and operators through their decarbonization journey, starting with evaluation of their portfolios and culminating in transactions through our clean energy marketplace. Compensation Company stage: Series A (post fundraise) Reports to: Head of Product Preferred Locations: San Francisco, Los Angeles, elsewhere in CA (Remote OK) We believe in pay transparency. The annual base salary for this role is $165k - $210k, with performance-based annual bonus and stock options. Learn more about our benefits here. What you’ll do As Technical Lead, Evaluation Technology, you’ll take ownership of the core geospatial and data-driven systems that power Station A’s marketplace. You will: Own the architecture and scalability of our evaluation platform: designing, refining, and growing the engine that identifies viable clean energy opportunities across hundreds of thousands of buildings. Raise the technical bar by instilling best practices across SDLC: test coverage, CI/CD, system observability, and multi-phase refactors. Mentor and force-multiply: coach engineers through pairing, design reviews, and example-setting, helping the team level up technically and culturally. Think in systems: evolve not just code but the processes and collaboration patterns that help the engineering team grow sustainably. Collaborate cross-functionally with Product, Design, Data, and Marketplace teams to ensure our evaluation stack is fast, scalable, and tightly aligned with business goals. Partner with leadership as a thought partner on technology decisions, helping guide Station A’s long-term platform strategy. Requirements You might be a fit if you have… 8+ years of professional software engineering experience, with significant full-stack and data engineering exposure. Proven track record leading complex, system-level projects from design through delivery. Strong experience with Python (preferred), TypeScript, and SQL databases (PostgreSQL), including query optimization. Comfort with geospatial technologies (e.g. Mapbox/MapLibre, Shapely, PostGIS) and building data pipelines for large-scale spatial analysis. Experience with CI/CD, automated testing, and cloud infrastructure (GCP or equivalent). The ability to mentor engineers and foster a high-performing, learning-oriented culture. Excellent communication skills—you can align technical tradeoffs with business value and make complex systems understandable to both engineers and non-engineers. Bonus points for… Deep Python knowledge (e.g. Pydantic, Poetry) and passion for maintainable, well-structured code. Experience with data engineering tools (Airflow, dbt, Kafka, Spark) to support scalable evaluations. Exposure to AI/ML applications, especially for geospatial or optimization problems. Domain experience in clean energy, sustainability, or climate tech. Why this role matters Technical leadership capacity: We’re understaffed in strong technical leadership. You’ll shape both the system and the team that builds it. Systems thinking: You’ll help us manage technical debt intentionally, and redesign core pieces of our platform as we scale. Mentorship: Your example will level up the engineering org, embedding best practices across the team. Capacity growth: Every line of code you and your team ship enables Station A to scale our business model from service-heavy to product-driven. Location & Travel Preferred: San Francisco, Los Angeles, or California-based to align with core engineering hours and enable periodic in-person collaboration. Anticipated travel: 1x/year for all-company retreat; quarterly engineering meetups (2–3 days each). Benefits We’re committed to supporting a healthy, sustainable life outside of work: Remote-friendly work environment (U.S.-based) with coworking options Flexible PTO Monthly remote work stipend ($50/mo or $600/yr) Learning & development budget to support your professional growth Comprehensive medical, dental, and vision insurance (including FSA and HSA options) 401(k) plan, with matching on the roadmap 12-15 paid holidays annually Why you might be excited about this role You see geospatial evaluation at scale as both a technical and climate challenge worth solving. You care about grid resiliency and energy independence and see geospatial analysis as a powerful lever for accelerating deployment. You believe evaluation should be accurate, scalable, and transparent, and you are excited to design systems that make project qualification faster and more reliable. You see the potential for technology to eliminate waste in the origination process, where today most projects stall or fail before they are even built. You’re motivated by the idea that every improvement to our evaluation engine unlocks billions in viable projects and accelerates carbon reduction at scale. You enjoy mentoring engineers and leaving systems better than you found them. You want your engineering leadership to make a tangible difference at the intersection of energy, infrastructure, and technology. Our Commitment We believe diverse perspectives fuel better ideas and stronger outcomes. If you are excited about this role—even if you don’t meet 100% of the qualifications—we encourage you to apply. Station A is an equal opportunity employer committed to building an inclusive, respectful workplace. Hiring decisions are based solely on qualifications, merit, and business needs.

San Francisco, CA, USA

$165,000-210,000/year

Intern: Software Engineer638497329690891216

Workable

Intern: Software Engineer

The Eluvio platform is a global multimedia distribution network. We are a fast-growing web3 startup based in Berkeley, CA led by Emmy-award-winning technical founders. If you are an outstanding student of computer science or related field and want real-world experience coding, please apply for this paid internship. You will have the opportunity to work with some of the most skilled software engineers in the industry and will be involved in the early phases of building a multi-faceted decentralized platform. Ideal candidates will have excellent academic performance and demonstrated practical experience in software. We are a team of independent and self-starter individuals, and thus ideal candidates will be ambitious and creative. We have a very friendly and warm working environment right here in Berkeley. We have a strong track record for past business success and thus are pragmatic and customer/user focused in our work. We have a track record of hiring our best interns post-graduation and you will work with a number of team members who are former summer interns. Requirements Basic Requirements General programming in Go, Rust, JavaScript/node/react Facile working across different platforms and environments Experience working on large-scale distributed systems High accountability Skill documenting decisions, processes, and code Areas of Focus We have several focus areas available for internship so, please highlight your interest and any experience in the following areas: Front end and web3/dapp development (most of our apps are using react) Applied cryptography Devops and large-scale test frameworks Benefits Paid internship

Berkeley, CA, USA

Negotiable Salary

React/Node FS developer with Vercel AI-SDK experience638494194865931217

Workable

React/Node FS developer with Vercel AI-SDK experience

Summary We are seeking a Full-stack Product Engineer with expertise in React, Node.js, and Vercel AI-SDK to join our team. The primary focus will be on building and enhancing a SaaS platform that tracks and manipulates brand presence in AI models. Key skills required include Node.js, TypeScript, React, and experience with data automation and workflow orchestration. General Information Our company is developing a cutting-edge platform designed to monitor, measure, and influence brand presence within AI models like ChatGPT, Claude, and Gemini. This platform addresses the challenge of understanding and shaping how AI models represent brands in their responses to millions of daily queries. As a new venture, we are focused on building a robust engineering team to drive this innovative project forward. Tasks and Deliverables Develop and maintain the SaaS platform using Node.js, TypeScript, React, and Next.js. Implement data automation and workflow orchestration using Vercel AI-SDK. Integrate with third-party systems, similar to marketplace systems integration. Manage site reliability and API management, utilizing tools like Sentry, Axiom, Redis, and PlanetScale. Work on jobs/queues and background processing to enhance platform functionality. Requirements Required Experience Strong proficiency in Node.js, TypeScript, React, and Next.js. Experience with Vercel AI-SDK and workflow orchestration. Familiarity with site reliability, API management, and third-party integrations. Experience with modern SaaS product development and full-stack engineering. Nice to have: Experience with jobs/queues, background processing, and product-level full-stack development Benefits Competitive Compensation: Salary and meaningful founding-level equity in a fast-growing, venture-backed startup. Health & Wellness: Comprehensive medical, dental, and vision coverage. Time Off: Flexible PTO and remote-first culture built on trust and accountability. Growth & Ownership: Direct impact on product direction, tech stack decisions, and company trajectory. Tools & Setup: Budget for top-tier equipment and software to do your best work. Career Development: Opportunities to grow into leadership as we scale, plus support for learning and conferences. Culture: Small, high-velocity team where your work is visible, valued, and critical to success.

San Francisco, CA, USA

Negotiable Salary

Software Engineer New Grad (MSc/BSc: AI, Core, Apps)638494192289311218

Workable

Software Engineer New Grad (MSc/BSc: AI, Core, Apps)

About Us At Eluvio (https://eluv.io), we’re tackling one of the Internet’s biggest challenges: video. Our Content Fabric is a decentralized platform reimagining how premium media is delivered, processed, and monetized. Unlike traditional cloud and CDN workflows, it enables real-time routing, just-in-time transcoding, personalized playback, and secure ledger-based rights management — all inline with the video stream itself. Global leaders in entertainment and sports — including Amazon Studios/MGM, Sony, Warner Bros., NBA, UEFA, and WWE — use Eluvio to deliver richer, faster, and more efficient experiences. Recognized with awards from NAB, SEICON, and HPA, and protected by 15+ US patents, Eluvio is building the infrastructure for the future of Internet video. Our Team We’re led by the founders of Aspera — an Emmy Award–winning technology company acquired by IBM — and joined by engineers and leaders who have built, scaled, and successfully exited multiple other startups. Our headquarters are in Berkeley, CA, near the UC Berkeley campus, and we’re proud alumni of the UC Berkeley Blockchain Xcelerator. The Role We’re looking for exceptional new graduates who are ready to jump in as full-time Software Engineers. If you have a strong academic background, solid fundamentals, and a hunger to learn and make an impact, we want to hear from you. BSc is required; MSc or PhD is a plus. Depending on your skills and interests, you’ll join one of three areas: • Core Systems – Work with Go, Rust, and C/C++, WebAssembly on backend systems, and our full video/audio transcoding, packaging, and processing stack (ffmpeg fork). You’ll also be able to contribute to our decentralized content routing and storage protocol. • Applications & Frontend – Build experiences across backend, web, mobile, and TV. Our stack includes Go, JavaScript, Typescript, WebAssembly, Swift (iOS/tvOS), and Kotlin (Android/GoogleTV). You’ll help shape streaming, download, and viewing products used by a wide audience. • AI/ML – Develop and apply models for content description, summarization, search, retrieval, and personalization. Our work spans LLMs, VLMs, RAG, reinforcement learning, optimization, and data science. Our main office is located in Berkeley, CA and we prefer collaborating in-person, with lots of flexibility around exact hours. Requirements • Education: BSc in EECS or related field (MSc/PhD encouraged) • Proven ability: Excellence shown through coursework, internships, research, or open-source contributions • Core fundamentals: Strong grounding in algorithms, concurrency, networking, security, and/or machine learning; research experience in new problem areas a plus By Track • Core Systems: Proficiency in Go, Rust, and/or C/C++; experience with testing; knowledge of video codecs (H.264, H.265, AV1) and/or WebRTC a plus • Applications: JavaScript/React and full-stack development; experience with mobile (iOS/Android) or TV apps a plus • AI/ML: Python and ML/DL frameworks (PyTorch, TensorFlow, scikit-learn); familiarity with Transformers, RAG, LoRA, CV/NLP Soft Skills • Clear and collaborative communicator • Detail-oriented but able to move fast • Creative problem solver with a team-first mindset Nice to Have • Core: Applied cryptography (e.g., SEC 256, proxy re-encryption, threshold ciphers), media standards (HLS/DASH, H.264, H.265, AV1, WebRTC), ffmpeg, and JavaScript-based media players • AI/ML: Experience building fine-tuned or multi-stage ML pipelines, including advanced techniques (LoRA, mixture-of-experts, advanced RAG, statistical optimization) Benefits • Market competitive salary • Employee stock option program • Medical, Dental, Vision, 401K with match • Culture: We celebrate our accomplishments with two major parties a year, have occasional events to coincide with adjacent SF conferences, and we have a warm and casual working environment. Lunch is provided every day! • Industry Interaction: We publish in our field, give talks, attend/present at product conferences, and interface with our customers regularly. A bunch of the team attend the international and national broadcaster's conferences every year, IBC (Amsterdam) and NAB (Las Vegas), and media conferences such as SXSW, which are all a blast.

We're seeking an experienced Linux administrator to support the rollout and ongoing maintenance of our Linux desktop fleet, with a focus on configuration management, automation, and fleet operations. Requirements Responsibilities Perform Linux system installation, configuration, patching, and ongoing maintenance across physical and virtual desktops Implement and maintain SaltStack configurations to enforce system baselines and automate repeatable tasks Contribute to sprint-based engineering efforts focused on endpoint reliability, compliance, and lifecycle management Support incident response, troubleshooting, and root cause analysis across a large fleet of Linux systems Execute operational procedures for OS/software updates, re-imaging, and break/fix scenarios Participate in change management processes and maintain accurate technical documentation Collaborate with engineers and IT support teams to ensure endpoint compliance and functionality Qualifications 6+ years of experience supporting large-scale Linux desktop environments in production settings Strong hands-on experience with Ubuntu/Debian Linux, including imaging, patching, and support Proficient in configuration management tools such as SaltStack, Chef, Puppet, or Ansible Experience writing scripts in Bash and/or Python to automate common system tasks Familiarity with sprint-based or agile project work Experience with tools like Jira for task and incident tracking Clear communicator with strong attention to detail and follow-through Must be local to the Bay Area and able to work onsite at Foster City HQ at least 3 days per week Benefits **Benefits** Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Training & Development Retirement Plan (401k, IRA) Free breakfast and lunch

Foster City, CA, USA

Negotiable Salary

Software Engineer - Map Generalist638483488238111220

Workable

Software Engineer - Map Generalist

Fremont, CA, USA

$120,000-180,000/year

Senior Software Engineer - Video638479053441291221

Workable

Senior Software Engineer - Video

Eluvio is a highly-focused and ambitious team of systems/networking/application/video software engineers, data scientists, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving a large percentage of the world's Internet video and live events. Our team is headquartered in Berkeley, CA, not far from the UC Berkeley campus. Our work extends the state-of-the-art in video engineering, Internet networking, data science, machine learning, and blockchain-inspired security. We welcome highly skilled and creative individuals interested in full-time opportunities across these domains. We not only innovate, we also work closely with the digital content community to validate our solutions and are looking for team members who are both visionary and practical! The Eluvio Content Fabric provides a new and innovative decentralized video processing framework with the ambition of serving a sizable percentage of the world's Internet video with just-in-time and personalized experiences. The Content Fabric foundation provides real-time content routing and just-in-time code execution on ingress and egress. This role is part of the core software development team with focus on the video processing pipeline. This is a specialized area of software development and this position requires in depth experience with video packaging and encoding across all common on-demand and live formats and Internet protocols. Backend work is based on Go, Rust and C, including native and Web Assembly binaries and front-end largely JavaScript and Web Assembly. The team is looking for both senior positions as well as recent graduates with a focus on video engineering. Our main offices are located in Berkeley, CA but, for the right candidate, the team is open to remote work as well. Responsibilities As part of the core software development team, understand and help shape the vision of just-in-time decentralized video with outstanding quality and real-time delivery Develop a variety of real-time video processing and distributed processing software modules Research and evaluate feasibility of new features and approaches Create and maintain a test and validation framework for quality, accuracy, load and performance Help maintain the audio/video pipeline software including routine bug fixes and development of tools for maintaining and troubleshooting a highly available network of nodes for live and on demand contents Work with infrastructure and content operations teams to ensure the product works perfectly in real deployment Requirements Experience and working knowledge of Go, Rust and C programming, including unit and integration tests Ability to develop and debug Go, Rust and C code Ability to debug third party software and experience with libav/ffmpeg/gstreamer codebases In depth knowledge of media packaging and encoding (MP4/FMP4/CMAF, DASH, HLS, RTP, MPEG-TS, SMPTE 2022, SMPTE 2110) Strong software development and architecture background Min BSc in CSEE or a related discipline and at least 5-7 years industry experience Nice to Have Applied cryptography, including SECP256-based protocols, proxy re-encryption, threshold ciphers and protocols Familiarity and experience with H.264, H.265, AV-1 standards and generally codec standards Familiarity and experience with WebRTC Full-stack application experience operating and using video tools such as ffmpeg Understanding and familiarity with java-script based media players Benefits - Market competitive salary - Employee stock option program - Medical, Dental, Vision, 401K - Passionate team members, ambitious vision and a culture of execution, winning and bringing the best of one another

Max AI – Stripe for Healthcare Max AI is the World’s first human-free, fully-autonomous medical billing AI agent. Many startups are attempting to attack this problem because the market is so big — $350B/yr. We have the best team going after it. While everyone else still needs humans in the loop, we’ve cracked the code for medical billing starting with dermatology, and are rapidly adding support for every other specialty. Medical doctors who code are rare. We have the best one in the world. His previous apps have driven 50M+ downloads, all while running an incredibly successful practice of his own where he literally did the billing by hand himself. Our Head of AI has been doing AI research at MIT and Caltech for over 10 years. And our Head of Engineering was one of the earliest engineers at Figma. Full Stack Engineer Responsibilities Taking ownership of the entire product lifecycle—from initial concept to final deployment. Creating scalable and reliable solutions aimed at optimizing revenue cycle management. Working closely with a small, high-impact team while directly engaging with customers to facilitate significant enhancements. Tech Stack Languages & Frameworks: TypeScript, Nestjs, Python, Django Client Application Technologies: Nextjs, React, Shadcn, Jotai Database: Postgres, Redis, Clickhouse Infrastructure: Kubernetes, AWS, Pulumi, ArgoCD, Kafka APIs: tRPC, REST Environment: Integrated full-stack development Work Approach Ownership of processes: Address challenges comprehensively instead of in isolated segments. An agile and iterative approach with defined accountability. Consistent customer engagement to ensure our product evolves in alignment with their requirements. Core Values A proactive approach: Identify and address problems, consistently driving enhancements. A dedication to continuous learning and personal development. A positive, collaborative spirit with a focus on team success. A focus on simplicity in both design and execution. Requirements Required 6+ years of full-stack development experience Expertise in front-end frameworks (e.g., React or equivalent) Strong back-end skills with a deep understanding of databases Proven ability to build and deploy production-grade software at scale Nice to have Experience working at high-growth startups Exposure to AI/ML projects or regulated industries Advanced AWS knowledge Benefits Compensation $140k - $220k USD Equity Platinum Healthcare Medical (Platinum PPO) Company covers 100% for employee, 80% for dependents Dental (Platinum PPO) Company covers 90% for employee, 75% for dependents Vision (Platinum PPO) Company covers 90% for employee, 75% for dependents Perks $250 per month (gym membership, classes, etc) $2,000 annually (courses, mentorship, etc)

San Francisco, CA, USA

$140,000-220,000/year

Workable

AI Engineer

Max AI – Stripe for Healthcare Max AI is the World’s first human-free, fully-autonomous medical billing AI agent. Many startups are attempting to attack this problem because the market is so big — $350B/yr. We have the best team going after it. While everyone else still needs humans in the loop, we’ve cracked the code for medical billing starting with dermatology, and are rapidly adding support for every other specialty. Medical doctors who code are rare. We have the best one in the world. His previous apps have driven 50M+ downloads, all while running an incredibly successful practice of his own where he literally did the billing by hand himself. Our Head of AI has been doing AI research at MIT and Caltech for over 10 years. And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer Responsibilities Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management. Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements. Work Approach Complete product ownership: tackle challenges across the board rather than working in silos. An agile, iterative process with clear accountability. Regular interactions with customers to ensure our product continuously evolves to meet their needs. Core Values A proactive mindset: Spot and resolve issues, continuously driving improvements. Commitment to lifelong learning and personal growth. Positivity, collaboration, and a team-first attitude. Clear communication skills Requirements Required 6+ years of ML/AI/data science in a production setting Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc) Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs Nice to Have Experience working at high-growth startups Exposure in highly regulated industries and/or healthcare Experience with AWS Benefits Compensation $150k - $250k USD Equity Platinum Healthcare Medical (Platinum PPO) Company covers 100% for employee, 80% for dependents Dental (Platinum PPO) Company covers 90% for employee, 75% for dependents Vision (Platinum PPO) Company covers 90% for employee, 75% for dependents Perks $250 per month (gym membership, classes, etc) $2,000 annually (courses, mentorship, etc)

San Francisco, CA, USA

$150,000-250,000/year

Workable

AI Engineer

OPPO US Research Center is seeking a talented and experienced AI engineer to join our growing team. In this pivotal role, you will be responsible for developing AI algorithms on cloud. Duties & Responsibilities Design, deploy, and evaluate LLM-powered agents, tools, and orchestration approaches to enable complex multi-step reasoning and automation. Design, develop, and optimize inference stage techniques such as RAG, CoT, and Prompt Engineering to guide LLM behavior and ensure consistent, reliable outputs. Develop frameworks and tools to benchmark and evaluate advanced LLM capabilities across different scenarios and datasets. Build and maintain data pipelines grounded in real-world business scenarios. Collaborate with cross-functional teams to integrate AI solutions into production workflows. Requirements Requirements Ph.D. in Computer Science, Electrical Engineering, or a related field; or a Master’s degree with 5+ years of relevant professional experience. Proficiency in Python and/or C++. Proven hands-on experience in computer vision / machine learning projects (e.g., LLMs, VLMs, diffusion models, cloud/mobile deployment). Solid understanding of multimodal AI and Large Multimodal Models (vision-language). Preferred Qualifications 3+ years of industry experience deploying LLMs in cloud environments. Strong publication record in top-tier conferences (e.g., CVPR, ICCV, ECCV) and/or granted patents in CV/ML. Expertise in mobile ML stacks (e.g., TensorFlow Lite, Qualcomm SNPE, MediaTek APU). Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Palo Alto, CA, USA

$100,000-200,000/year

Founding Engineer, Cloud Compute638470770442251225

Workable

Founding Engineer, Cloud Compute

We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. We’re looking for a Founding Engineer with deep backend and infrastructure experience to build the foundation of our cloud compute platform. You’ll be responsible for architecting and scaling the systems that power real-time generative workloads for next-gen applications. What You’ll Do Build and maintain our core Python platform, which includes: Request routing, AI workload orchestration, GPU resource management. Observability, authentication, rate limiting, and more. Develop and maintain infrastructure using Terraform, Ansible, and cloud/bare metal provider APIs. Own critical systems and tooling: Kubernetes, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed storage, and networking. Set the vision and roadmap for our infrastructure stack for the next 1/2/5 years Requirements About You 5+ years of experience in cloud computing, infrastructure engineering, or DevOps roles. Proficiency in cloud platforms (AWS, GCP, Azure) and their associated services (compute, storage, networking). Experience with container orchestration systems like Kubernetes, Docker, and serverless architectures. Strong knowledge of cloud security best practices and data management strategies. Demonstrated ability to optimize cloud resource usage effectively while balancing performance and cost. Startup mindset: you thrive in fast-paced environments and take ownership of projects from concept to execution. Minimum Qualifications Expertise in cloud platforms and services. Experience with infrastructure as code tools (Terraform, CloudFormation). Familiarity with CI/CD pipelines and automation of deployment processes. Strong troubleshooting skills and ability to implement monitoring and alerting solutions. Benefits Competitive SF salary and foundational team equity

San Francisco, CA, USA

Negotiable Salary

Founding Engineer, ML Performance & Systems638470770654731226

Workable

Founding Engineer, ML Performance & Systems

About the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. About the Role We’re looking for a Founding Engineer, ML Performance & Systems with deep expertise in high-performance ML infrastructure. This is a highly technical, high-impact role focused on squeezing every drop of performance from real-time generative media models. You’ll work across the model-serving stack, designing novel architectures, optimizing inference performance, and shaping Reactor’s competitive edge in ultra-low-latency, high-throughput environments What You’ll Do Drive our frontier position on real-time model performance for diffusion models Design and implement a high-performance in-house inference engine Focus on maximizing throughput and minimizing latency and resource usage Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities Requirements About You Strong foundation in systems programming, with a track record of identifying and resolving bottlenecks Deep expertise in the ML infrastructure stack: PyTorch, TensorRT, TransformerEngine, Nsight Model compilation, quantization, and advanced serving architectures Working knowledge of GPU hardware (NVIDIA) and the ability to dive deep into the stack as needed (e.g., writing custom GEMM kernels with CUTLASS) Proficient in CUDA or willing to learn, with comparable experience in low-level accelerator programming Excited by the frontier of multi-dimensional model parallelism (e.g., combining tensor, context, and sequence parallelism) Familiarity with internals of cutting-edge techniques such as Ring Attention, FA3, and FusedMLP implementations Minimum Qualifications Expertise in systems programming (C++, CUDA) Experience optimizing ML inference on GPUs Proficient with PyTorch and tools like TensorRT Deep understanding of NVIDIA GPU architecture Familiar with model serving, compilation, and quantization Benefits Competitive SF salary and foundational team equity

San Francisco, CA, USA

Negotiable Salary

Founding Software Engineer638470770856971227

Workable

Founding Software Engineer

About the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. Who you are You are a versatile engineer who thrives on building and deploying seamless user experiences. You possess a strong understanding of both backend and frontend technologies, enabling you to take ownership of features from concept to launch. You are proficient in crafting robust APIs, managing databases, and developing interactive user interfaces. Your focus is on delivering high-quality, scalable, and maintainable products. Requirements Minimum Qualifications Proficiency in building and maintaining full-stack web applications Experience with modern frameworks and languages such as Python, Next.js, and Postgres Strong understanding of API design principles, authentication strategies (OAuth, API keys), and SDK architecture Familiarity with developer tooling and platforms—understanding what makes great documentation, intuitive DX, and reliable SDKs Comfort working across the stack—from database models and cloud infrastructure to front-end components and user flows Additional beneficial experience: Experience with OpenAPI / Swagger and API gateway design Familiarity with WebSockets, streaming APIs, or real-time collaboration tools Exposure to developer community engagement—e.g., writing tutorials, supporting integrations, or maintaining SDKs Benefits Competitive SF salary and foundational team equity

San Francisco, CA, USA

Negotiable Salary

Founding Engineer, Machine Learning638470771050271228

Workable

Founding Engineer, Machine Learning

About the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. About the Role We're looking for a Founding Machine Learning Engineer to build the core infrastructure powering high-performance inference for generative media models, including diffusion and transformer architectures. You’ll be instrumental in designing low-latency, high-throughput systems that serve state-of-the-art models in real time. As an early technical leader, you'll shape both our systems and culture from day one. What You’ll Do Architect and implement the inference engine for diffusion transformer-based generative models Optimize model execution across the stack — memory, compute, and networking Drive performance engineering to minimize latency and maximize throughput Work closely with research to productionize new generative techniques and model variants Build the tools, services, and monitoring that make these systems robust and scalable Set the technical bar and help define engineering culture as an early team member Requirements About You 3+ years of experience building high-performance ML or systems infrastructure Deep fluency with PyTorch and production-grade Python Strong understanding of GPU systems (CUDA, memory hierarchies, scheduling, etc.) Experience optimizing inference for generative models (e.g., diffusion, transformers) Bonus: Familiarity with Triton, CUDA, TensorRT, or model parallelism techniques Startup-ready: you take ownership, move quickly, and solve hard problems end to end Minimum Qualifications Strong Python + PyTorch skills Proven experience optimizing inference for generative models Deep systems knowledge, especially GPU performance tuning High agency and eagerness to build from scratch Benefits Competitive SF salary and foundational team equity

San Francisco, CA, USA

Negotiable Salary

Head of Computer Vision638470767365151229

Workable

Head of Computer Vision

Head of Computer Vision Location: San Francisco Bay Area (On-Site, 5 Days a Week) Overview We’re seeking an accomplished Head of Computer Vision to lead the development and deployment of next-generation video analytics systems that will transform how work is measured and optimized in complex, large-scale environments. You will guide technical strategy, manage research-to-production pipelines, and work hands-on to deliver breakthrough capabilities in automated video labeling, object tracking, and real-time analytics. This role offers the rare opportunity to build and scale the entire computer vision function at a fast-growing company, working at the intersection of hardware, AI, and real-world impact. You will collaborate closely with cross-functional teams, from hardware engineers to data scientists, to deploy systems that integrate seamlessly with purpose-built devices in the field. Key Responsibilities Technical Leadership – Define and execute the computer vision roadmap, from research to large-scale production deployment. Model Development – Architect and optimize models for video processing, object detection, and activity recognition, ensuring robustness in real-world conditions. Pipeline & Infrastructure – Oversee design and scaling of ML pipelines, including edge computing and integration with proprietary hardware. Product Integration – Work with product and hardware teams to align CV capabilities with end-user requirements and operational goals. Team Building – Recruit, mentor, and grow a high-performing computer vision engineering team. Innovation & Research – Keep the organization at the forefront of CV advancements, publishing and patenting as opportunities arise. Qualifications 7+ years of experience in computer vision and machine learning, with at least 3 years in a high-growth startup or leading projects at a top-tier tech company. Proven track record of taking ML/CV projects from initial concept to production with measurable business impact. Strong background in video analysis, object detection, and tracking in production environments. Hands-on experience with CV frameworks such as PyTorch, TensorFlow, and OpenCV. Expertise in edge computing, hardware/software integration, and scaling video analytics solutions. Advanced degree (M.S./Ph.D.) in Computer Science, Electrical Engineering, or related field. Published work in leading CV/ML conferences (CVPR, ICCV, NeurIPS) or significant patents in the field. Preferred Experience Applications of CV in autonomous systems, robotics, or applied AI fields. Building unique, large-scale labeled datasets and leveraging them for competitive advantage. Leading multi-disciplinary teams that bridge the gap between research and field deployment. Who You Are Equally comfortable in the weeds coding and at the whiteboard setting strategic direction. Driven by real-world impact, especially in industries where technology adoption is accelerating. Operate with first-principles thinking and bring humility, curiosity, and a bias for action. Excited to work hands-on in the lab and on-site to see your technology in action. Benefits Full Benefits

San Francisco, CA, USA

Negotiable Salary