58 Aerospace Engineering in California lowest at $20000.0+

Senior Frontend Engineer - New Business63850056804099120

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

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

Full-Stack 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. 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

Founding Engineer, Machine Learning63847077105027123

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

Founding Software Engineer63847077085697124

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, ML Performance & Systems63847077065473125

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 Engineer, Cloud Compute63847077044225126

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

Lead Java and Data Integration Engineer63846761715329127

Workable

Lead Java and Data Integration Engineer

Resource Innovations is seeking a Lead Java Software and Data Integration Engineer to join our growing Software As A Service (SaaS) team. As a hands-on technical lead at Resource Innovations, you will be instrumental in the design, development and deployment of innovative cloud-based enterprise software used by leading Energy organizations. This position will work on wide range of SaaS products that fundamentally changes how utilities manage business processes and customer initiatives for energy efficiency, renewable energy, demands response and conservation. We are looking for candidates who want to work on things that make an impact on the world and are passionate about product craftsmanship. This is remote position requiring occasional in-person office meetings for candidates residing in one of the following metro areas San Francisco CA, Chicago IL, Phoenix AZ, Denver CO, or Madison WI. We require candidates to currently reside in the United States. Unfortunately, we are not offering visa sponsorship or extensions for this position. Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change. Duties and Responsibilities Lead the design and development of data integration solutions and APIs to connect enterprise systems and services. Architect and implement API‑driven interfaces and ETL/data pipelines using Java, Spring Boot, and integration frameworks. Design and implement parallel and batch processing of large data sets, applying proven integration patterns and performance optimization techniques. Participate in the full software development lifecycle - design, development, testing, deployment, and support of cloud‑based enterprise applications. Work with API Gateways, REST and SOAP web services. Ensure designs meet performance, security, usability, reliability, and scalability requirements. Collaborate in code reviews, provide design feedback, and mentor junior team members. Research and evaluate new technologies, frameworks, and integration patterns to improve solutions. Troubleshoot and resolve complex technical issues related to integrations and APIs. Contribute to CI/CD pipelines and improve development practices. Other duties as assigned. Requirements Bachelor’s or Master’s degree in Computer Science or a related field. 8+ years of hands‑on software development experience delivering high‑performance, reliable, and scalable applications. Proven expertise in Java, Spring Boot, Hibernate, Maven, and JMS. Strong experience with API design and development, including REST, SOAP, and API gateways. Working experience with Spring Integration and Spring Batch modules, AWS Lambda, and API security. Solid experience with RDBMS (MySQL preferred) and strong SQL skills. Skilled in unit testing and test automation (JUnit, TestNG, Mockito). Hands‑on knowledge of AWS cloud services, Linux, and familiarity with JavaScript. Experience in agile development using tools like Jira, Confluence, and Git. Ability to design and implement solutions using design patterns and multi‑threaded programming. Strong analytical and problem‑solving skills with excellent communication abilities. Ability to work independently and lead initiatives in a fast‑paced environment. Preferred Qualifications: Experience with front‑end frameworks such as Angular. Familiarity with NoSQL databases (MongoDB, DynamoDB). Knowledge of microservices architecture and containerization/orchestration (Docker, Kubernetes). Exposure to pipeline automation tools and DevOps practices. Domain experience in the Energy industry or related enterprise systems. Benefits About Resource Innovations Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change. Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work. Compensation & Benefits Resource Innovations offers competitive salaries based on a candidate's skills, experience and qualifications for the position. The compensation range for the base salary for this position is $135,000 - $150,000. In addition to base pay, employees are eligible for a discretionary annual bonus. The stated salary represents the expected compensation for this position. Final compensation will be determined based on factors such as the candidate's experience, education and location. We also offer a comprehensive benefits package that includes three weeks of paid vacation per year; paid holidays; a 401(k)-retirement plan with employer matching; health, dental and vision insurance; and other supplemental benefits. Employment with Resource Innovations is contingent upon the successful completion of a comprehensive background check and reference check. If applicable to the position, a pre-employment drug screen may also be required. The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.

San Francisco, CA, USA

$135,000-150,000/year

Software Engineer, Infrastructure (Onboard System & Toolchain)63852216555395128

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)63852012437379129

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 Kreativ638519043008031210

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 Systems638519035605771211

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

AI Software Engineer Intern638503618319371214

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

Palo Alto, CA, USA

Negotiable Salary

Intern: Software Engineer638497329690891215

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

Software Engineer New Grad (MSc/BSc: AI, Core, Apps)638494192289311216

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 Generalist638483488238111218

Workable

Software Engineer - Map Generalist

Fremont, CA, USA

$120,000-180,000/year

Senior Software Engineer - Video638479053441291219

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

Berkeley, CA, USA

Negotiable Salary

Battery Cell Technician638470703047691220

Workable

Battery Cell Technician

About the Job We are seeking a skilled and detail-oriented Battery Cell Technician to support the development, testing, and manufacturing of battery cells. The ideal candidate will work hands-on with battery materials, assembly processes, and testing to ensure product quality and performance. This role is critical for Anthro to deliver on our internal technical milestones and external customer projects. What you will do Build and test battery cells following standard operating procedures (SOPs). Conduct performance evaluations, including capacity, cycle life, and thermal tests. Handle battery materials, cells, and electrolytes while maintaining safety protocols. Safely operate lab equipment such as cell testers, cyclers, and environmental chambers. Collect and document test data, generating reports for engineering and R&D teams. Work closely with engineers and scientists to optimize battery performance and manufacturing processes. Follow safety guidelines for handling lithium-ion and other battery chemistries. Maintain lab cleanliness and ensure proper disposal of hazardous materials. Requirements Education: HS Diploma or GED Experience: 1-3 years of experience in a laboratory setting. Relevant technical experience may be considered in place of direct battery experience. Technical Skills: Hands-on experience measuring and handling chemicals in small, precise quantities Familiarity with assembling fixtures and running tests on analytical equipment Soft Skills: Strong attention to detail and problem-solving abilities. Ability to work in a team and follow technical instructions. Good written and verbal communication skills for reporting and documentation. Other Requirements: May occasionally be required to lift objects up to 30 lbs. and work with chemicals following written safety protocols. Ability to lift, squat, kneel, use step ladders, manipulate hand, and power tools. Benefits Competitive salary and equity compensation commensurate with experience. Expected salary range is $49,840 to $85,200 15 Vacation Days, 10+ Holidays, Sick time off Full medical, dental, and vision coverage for team members, 60% coverage for dependents 401k with match Paid parental leave with flexible return-to-work policy Diverse and inclusive work environment

Alameda, CA, USA

$49,840-85,200/year

Director, Machine Learning638470690457611221

Workable

Director, Machine Learning

Summary Description: Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented Director of Machine Learning to take on a critical role with expansive responsibilities to enhance the Machine Learning function in a growing organization. The Director of Machine Learning will be responsible in shaping the technical direction and culture of a team specializing in audio, vision, and language ML at the edge. We are seeking a leader that takes a hands-on approach to technical challenges, capable of translating the latest technologies and academic research into accurate and robust solutions. This position must be able to manage and mentor a technical team as well as collaborate with other groups within the company. Specific Duties and Responsibilities: Develop state-of-the-art machine learning models for audio, computer vision, and language applications. Manage, mentor, and support team members, giving regular advice and feedback and fostering a collaborative and innovative environment. Allocate resources and manage project schedules to meet milestones and enhance team productivity. Act as a subject matter expert, keeping current with industry trends, emerging technologies, and academic research. Clearly communicate complex technical concepts to both technical and non-technical audiences. Lead the design, implementation, and evaluation of new models, algorithms, and tools. Encourage and facilitate rapid prototyping, benchmarking, and integration of new solutions. Collaborate with stakeholders, product managers, and other engineering teams to define technical requirements. Deliver production-ready solutions within tight timeframes. Foster best practices within the team for model analysis, code quality, and software deployment. Requirements Qualifications, Education, and Experience Required: MS or PhD in Computer Science, Machine Learning or related field. 7+ years of industrial work experience developing and deploying ML models for audio or vision applications on resource constrained devices. Demonstrated strong communication skills to drive cross-functional alignment. Strong C++ and Python programming expertise and familiarity with ML frameworks (e.g. TensorFlow, PyTorch). Ability to quickly prototype and iterate on complex ML solutions. Strong analytical and problem-solving skills. Benefits Benefits Summary: Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family. Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia. Vision: Company-paid vision PPO coverage from MetLife / VSP. Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family. Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection. Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan. 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck. Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection. About Syntiant: Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com. One element in our total compensation package is base pay. The starting base pay for this role is targeted to be between $225,000 - $275,000. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.

Redwood City, CA, USA

$225,000-275,000/year

Technical Program Manager638464642887691222

Workable

Technical Program Manager

In this role, you will work cross-functionally with our engineering leaders across software, hardware, vehicle engineering, and product to help us achieve our strategic and tactical milestones. You will work with engineering teams to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. Responsibilities Work with cross-functional team to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables Work with engineers and finance teams to define and track resource requirements, including headcount and budget Ensure every team understands what they need to deliver at all times Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments Ensure problems are transparent and risks are identified and proactively ensure that risk mitigating actions are ongoing within relevant engineering teams Set agenda for key decisions to be made at each meeting to eliminate bottlenecks and minimize risks Support key decisions working cross-functionally across engineering, finance, and strategy to reach the right conclusions Requirements 6+ years experience HW Program Management or Engineering Management work - managing cross-functional teams on HW/SW integration in the development phase. BS degree in an engineering discipline or equivalent experience. Proficient in tools required to manage complex projects (i.e. JIRA, Gantt charts). Prior experience working with contract manufacturers (CMs). Understands and deals well with rapid development cycles; remains flexible and calm in the face of uncertainty. Self-motivated and proactive problem-solver. An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience. Bonus Qualifications Directly managed 2+ program development cycles for a System with HW and SW integration involved. MS degree in Mechanical or Electrical Engineering. Strong references that highlight your ability to build strong working relationships with senior leaders and engineers across functions and departments. 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

We are seeking an individual passionate about optimizing software, hardware, and data transfer to support our AI initiatives across the country. The IT storage team manages petabytes of on-premises, clustered POSIX storage for AI modeling and is developing the next-generation storage solutions. This includes building a geo-distributed file system/data lake to support autonomous robotaxis operations nationally and globally. Our initial focus is on a high-performance caching system significantly outperforming AWS S3. Responsibilities ● Be a lead engineer in Rust programming and systems programming to help accelerate the development of the caching and data lake. ● Optimize software and hardware interactions to achieve minimal latency, efficient resource utilization, and maximum performance, with a focus on both scaling up and scaling out systems. ● Translate complex architectural designs into implementable solutions and effectively communicate them to fellow programmers. ● Analyze IO bottlenecks in the system and resolve bugs around cache handling and race conditions. Requirements ● 2+ years of experience developing non-web applications with Rust. ● 8+ years of experience with system-level programming languages such as C, C++, or Java. ● Strong understanding of Linux storage subsystems, networking stack, and low-level network protocols (TCP, HTTP, etc.). ● Proficiency in modern software development practices including Git, CI/CD, code review, automated testing, and cross-team collaboration in large projects. ● Excellent problem-solving skills with the ability to analyze requirements and propose technical solutions, document technical designs and decisions, and debug complex system-level issues. Bonus Qualifications ● Contributed code to the Linux kernel or similar Open Source Project. ● Programmed for embedded systems or ARM64. ● Database, S3, POSIX, file system programming experience. 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

Manufacturing Diagnostics Engineer638464640400671224

Workable

Manufacturing Diagnostics Engineer

As a Manufacturing Diagnostics Engineer, you will be a part of the team that executes processes to bring up, validate, test, and troubleshoot the products as well as implements diagnostic systems / infrastructure. You will develop and improve our processes for testing the electrical and firmware systems of a vehicle to perform the End-of-Line diagnostics in the manufacturing process. Responsibilities Serve as the first line of defense for all electrical and functional issues on the manufacturing line including but not limited to software / firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Support escalated electrical and firmware issues at supplier for escalated issues as needed, potentially requiring temporary onsite support Validate vehicle behavior, triage issues, identify root causes, and lead resolutions (pertaining to software, tooling, deploy, harness, hardware, etc.) during vehicle manufacturing testing, bring-up, firmware updates, and calibration. Work closely with multidisciplinary engineers to collect and interpret the component and vehicle level requirements and translate them into scalable system-level validation test scripts and test cases Develop automatic troubleshooting and workaround guidance for operators on the Manufacturing line Design and implement future manufacturing lines involving the next generation diagnostic architecture to support higher volume production Requirements Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science. Very strong troubleshooting and debugging skills and experience, including reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet 2-4 years of experience with automotive controller integration testing or test script development / programming in high-level languages such as Python Experience with Github or similar tools for software management Strong background in Linux and shell / bash / terminal scripting 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

Hayward, CA, USA

Negotiable Salary