Mobile App Development Engineer, Android

We are seeking a highly skilled Payroll Technical Consultant with extensive experience in US Payroll. The ideal candidate will have a strong background in ABAP HR code development and a deep understanding of Core HR and Payroll modules. This role involves designing and developing custom HR-ABAP programs, working with PNP/PNPCE logical databases, and enhancing payroll processes. • Experience: 9-15 years in payroll technical consulting. • ABAP HR Development: Proficient in ABAP HR code development. • Custom Programs: Design and write HR-ABAP custom programs; modify standard programs as needed. • Database Programming: Experience with PNP/PNPCE logical databases and cluster programming for Core HR, payroll, and time management. • Core HR & Payroll Knowledge: In-depth knowledge of Core HR and Payroll modules, including schemas, functions, and operations. • HR Tables/Clusters: Familiarity with HR, Core HR, and Payroll tables/clusters; experience in developing reports/BDC in the HR module. • Payroll Processes: Strong experience in Core HR and payroll processes, including preparing payroll reports. • Reports & Interfaces: Design and develop reports, interfaces, info types, and enhancements. • Team Development: Guide and develop team members to enhance their technical capabilities and productivity. • Forms Experience: Hands-on experience with SMART forms and HR forms. • User Exits & BAPIs: Proficient in user exits, BADi, and BAPI. • OOPS Concept: Strong understanding of object-oriented programming concepts. • Technical Documentation: Experience in requirement gathering, designing technical documents, unit testing, and code review. • Qualifications: • Bachelor’s degree in computer science, Information Technology, or a related field. • Proven experience in payroll technical consulting with a focus on US Payroll. • Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills.

Network Technician PT (China Lake NAWS) CCS is a 28-year-old Network Specialist Company looking for career minded people. Compensation: based on experience Employment type: Part-Time Looking for a full time Network Technician (Veteran preferred) to be based at China Lake NAWS. Some company paid travel to other Military locations in CA and around the U.S. Please include resume when applying for this position. • Maintain existing wireless Internet systems and respond to trouble tickets. • On-call and afterhours work required for outages • Familiarity with Microsoft Applications (Excel, Word, etc.) • Telecommunications wiring experience is a plus. Will train! • Tools, test equipment and training will be provided. • On-going company paid training • Entry level position with opportunities for advancement. A love of technology, wireless internet and computers is very helpful. Some ladder climbing needed and able to move boxes of up to 25 pounds is required. Added plus if you live close to the base. We will train the right applicant, but must be a self-starter. A respect for our customers, is expected. Applicant must pass background check, adequate transportation and a clean driving record. Great pay. CCS has deployed and upgraded telecommunication networks for over 200 US military bases from New York to Hawaii. In addition, CCS currently manages existing Internet and data facilities on over 100 military bases. CCS clients benefit from our employee’s depth of experience in all aspects of audio, data, and video networks and operations. Our experiences include engineering and contract management services, installation, operations and maintenance, break/fix services and end user customer support. Communication Construction Services, Inc. (CCS) is a Florida Corporation headquartered in West Palm Beach, Florida. Founded in 1996, it is a Woman Owned Company. CCS provides consulting, design, engineering, and operating services for the telecommunications industry. Please include resume when applying for this position.

- Design, build, test, and deploy highly scalable customer facing RESTful APIs that can handle traffic and mobile apps - Collaborate with Product and Engineering leadership to translate business vision into technical design, code and test suite - Partner with other engineers to produce high quality software - Gain a broad understanding of the system/domain and upstream/downstream dependencies - Stay current on technologies and application development best practices Requirements - You have 8+ years of experience as a back-end developer building and deploying RESTful APIs and integrations using Java/Groovy, SpringBoot, Spock, JUnit, Gradle/Maven, SQL/NoSQL databases, MQ, Kafka, GIT - You have a solid understanding of RESTful APIs - You are an expert in building cloud-native applications - You are passionate about developing and maintaining high quality software - You understand how web sites and mobile apps interact with backend APIs - 3+ years working in an agile team - Understanding of CI/CD, Jenkins, JMeter/Gatling, WireMock - Atlassian software development and collaboration tools (BitBucket, Jira etc.)

Stealth-Stage Startup Location: Northern Virginia or Colorado Springs, CO (Hybrid with regular in-person visits, telework from home office) Type: Full-Time or Contract-to-Hire Compensation: $95,000–$130,000+ with bi-weekly milestone-based bonuses Benefits: IT resources (top-tier development machine: MacBook Pro or preferred Windows/Linux setup), home office support, and a collaborative, high-impact work environment. Start Date: November 1, 2025 About the Opportunity:  We’re a stealth-stage startup building a mobile-first, AI-integrated platform that solves high-impact, real-world problems with clarity and speed. Inspired by the pioneering work of Dr. Howard Moskowitz, our platform leverages Mind Genomics—a revolutionary approach to understanding human preferences—to deliver transformative solutions. Already in early pilots with trusted public-sector and national-level users, we’re building what others thought couldn’t be done. Join our small, dynamic team in Northern Virginia or Colorado Springs to shape the future.   What You’ll Do As a Full Stack Engineer: You’ll collaborate with Dr. Moskowitz, our dedicated UX designer, and infrastructure team to connect our polished front end to robust backend systems. Using Agile processes, you’ll drive software improvements, add capabilities, and incorporate customer feedback to deliver a reliable, secure platform. Key responsibilities include: Connecting our existing front-end interface (designed in Figma) to the platform’s core logic and infrastructure. Building and optimizing backend systems using Java, Node.js, Python(Flask/Django), or similar frameworks, with a focus on well-documented, secure code. Collaborating with our infrastructure team to deploy, secure, and scale cloud-based systems (e.g., AWS, GCP). Integrating third-party APIs and AI/ML models (e.g., OpenAI, Hugging Face) to enhance functionality. Ensuring fast, reliable data flows between the UI, backend services, and external APIs. Partnering with our UX designer to translate Figma designs into user-centered, deployable features. Using Agile methodologies to iteratively improve software, add capabilities, and incorporate customer feedback. Maintaining and enhancing existing code to ensure reliability and security. Who You Are:  You’re a builder who thrives in a fast-paced, Agile startup environment with minimal layers and maximum ownership. You Bring: 3+ years of full stack development experience (or equivalent project leadership)with proficiency in Java, Node.js, Python (Flask/Django), RESTful APIs, and databases (e.g., PostgreSQL, MongoDB). Experience writing well-documented, secure code with a focus on security best practices (e.g., addressing vulnerabilities during development). Experience collaborating with UI/UX teams using Figma or similar design tools. Familiarity with Agile development processes, including iterative improvements and customer-driven updates. Comfort with cloud platforms (e.g., AWS, GCP, Azure) and collaborative tools like GitHub. Nice-to-Have: Experience with testing, test planning, test automation, and vulnerability testing to ensure high-quality, robust systems. Strong problem-solving skills and the ability to navigate ambiguity with a proactive, autonomous mindset. Passion for collaborating with designers and scientists to create polished, impactful features. Residency in Northern Virginia or Colorado Springs area (DC and Maryland candidates considered) with the ability to attend regular in-person visits and telework from a home office (must provide own internet access). U.S. work authorization (no visa sponsorship available). Why Join Us? You’ll work alongside Dr. Howard Moskowitz to shape the next generation of Mind Genomics products, contributing to a platform with real-world impact. Our flat, Agile team empowers you to own your work, make decisions, and grow with us. Enjoy competitive pay, milestone-based bonuses, fully provided IT resources (including a top-tier development machine), and a culture that values innovation, collaboration, and diversity. How to Apply: Submit your resume, GitHub or portfolio link, and a 1–2 paragraph note (human-written, please!) about what excites you about this role and how you can contribute to our vision. Email your application to wingertnr@gmail.com (mailto:wingertnr@gmail.com) or call 305-803-8403 to schedule an in-person interview. Our Hiring Process: Step 1: Application review (resume, portfolio, and note). Step 2: Technical screening with our engineering lead (focused on real-world problem-solving, no whiteboard trivia). Step 3: Optional discussion of past projects or a short take-home exercise. Step 4: Final in-person interview with the team. We’ll acknowledge your application within 2 business days and aim to update shortlisted candidates within 5 business days. Target start date: November 1, 2025. A Teaser of What’s Ahead: You’ll contribute to a platform already making waves in early pilots with public-sector and national-level users. Using Agile processes, you’ll help us iterate, innovate, and deliver a production-ready system that redefines how complex problems are solved through AI and human insights.

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 Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $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

Indus AI Technologies, Inc. d/b/a Maxima, in San Mateo, CA seeks multiple Software Engineer(s) Responsibilities: Responsible for leading the full-stack development of key products features such as reconciliations, flux analysis, and accruals automation; Building and maintaining robust integrations with financial systems including ERPs, HRIS, Procurement software, and CRMs; Designing and implementing core components of the backend platform, including the jobs framework, flexible data ingestion, and complex financial modeling; Ensuring best practices in software development, including code quality, automated testing, and CI/CD; Contributing towards the product direction and roadmap planning for engineering teams; Collaborating with account executives to manage complex deal cycles involving multiple stakeholders; and other duties as assigned. Salary range: $215,000 – $225,000. Education: Master’s degree in Computer Science, Software Engineering, or related field (or foreign equivalent). Requirements: 3 years of experience in the job offered or similar software engineering position. Special skills required: 3 years of experience working with Golang, Typescripts, and Python programming languages; 3 years of experience designing and maintaining the backend APIs to support all frontend and server-to-server business logic systems; 3 years of experience building financial systems; 3 years of experience building ledgers, reconciliations, and handling high volume of transaction matching in multiple currencies; 3 years of experience with large scale distributed systems such as jobs frameworks, pub/sub systems, and performance optimization of SQL databases; 3 years of experience working with client/server architectures and application architectures; and 3 years of experience contributing to internal engineering tooling, processes, and best practices to improve engineering efficiency and excellence. Please mail resumes to Maxima, Attn: Akshaya Srivatsa, 107 S B St, Suite 220 San Mateo, CA 94401 quoting job # MAXSE25.