Requirements engineer jobs in San Leandro, CA

Founding Engineer | San Francisco (Onsite) Salary: $160,000 - $225,000 We're looking for a Founding Engineer to help take a hypergrowth startup from early pilots to full enterprise deployments, scaling tens of millions in automated orders per month. This is a hands-on role for builders who thrive on high-impact, technically challenging projects. What You'll Do Ship high-quality code and own end-to-end projects, including LLM orchestration pipelines, real-time ERP integrations, workflow automation, and user-facing tools Work onsite with customers (warehouses, offices, factories) to understand workflows and build empathy-driven solutions Design and optimize scalable ML and AI systems for production Shape technical strategy and infrastructure for a startup transforming the $9T+ global food supply chain Tech Stack Python | Pandas | NumPy | Scikit-learn | HTML/CSS | JavaScript | React.js | Next.js | WebSockets | SQL | AWS | GCP | Azure | LangChain | LlamaIndex About You 2-5 years' experience in hypergrowth startups (Seed to Series B) Experience building production-grade AI agents and workflow systems Proficiency in Python, data science libraries, and Next.js for frontend Experience with cloud infrastructure (AWS, GCP, Azure) and GPU optimization Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) Bonus: previous founder experience or exceptional extracurricular achievements Why This Matters You'll play a defining role in transforming one of the world's largest, most overlooked industries, reducing waste, lowering costs, and making food more accessible worldwide. Interested? If you're a high-caliber builder ready to work onsite on technically demanding and strategically critical projects, get in touch to discuss this opportunity further.

About You: You will be working on our frontend built with Next.js, TypeScript, and Tailwind. It's a complex product with interactive, realtime systems that need to be coordinated. You should be immediately productive coming into a codebase on this stack. You are skilled at frontend architecture and can also turn Figma designs into reliable production code. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business. They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software. What You'll Do Build and ship high-quality frontend features using React, Next.js, and TypeScript Translate designs into polished, responsive, production-ready UI Partner closely with our designer to iterate rapidly on new UX and UI concepts Take end-to-end ownership of projects in a fast-moving, early-stage environment Collaborate with founders and cross-functional teams to shape product and technical direction (Bonus) Work across the stack when needed, supporting backend teams and integrations What We're Looking For 3+ years of strong frontend engineering experience with React and TypeScript Solid understanding of modern frontend architectures, state management, and performance optimisation Ability to learn quickly, work independently, and move with urgency Experience shipping production systems with high-quality engineering standards Bonus: experience in a fullstack environment or working closely with backend engineers Bias toward ownership, rapid execution, and craftsmanship Ideal Background Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies Comfortable with early-stage ambiguity and excited by zero-to-one challenges Strong product intuition and attention to detail A builder mentality - hands-on, resourceful, and motivated to create something enduring

We're partnered with a startup, lead by repeat founders and backed by one of Silicon Valley's leading VC's. They're building the data layer for bug fixing production code. This is an exciting opportunity to be Eng #2 at an AI coding based startup. If you've built something exciting with AI agents, and are excited by working on multi-agent reasoning systems, then please apply!

Senior ML Infrastructure / MLOps Engineer We're representing an ambitious AI research organization building physical autonomy systems powered by large-scale ML. You'll own the infrastructure that makes cutting-edge model development reliable, reproducible, and scalable - from training to deployment. ⭐ The Opportunity Be a core part of the team responsible for the machine learning foundation of a next-generation AI platform. You will help build and maintain the systems that enable performant model training, experimentation, and production workflows at scale. What You'll Do Build and maintain scalable ML infrastructure supporting training, fine-tuning, RLHF/DPO workflows, and distributed experiments. Develop and manage data pipelines, dataset versioning, experiment tracking, and reproducible evaluation frameworks. Operate containerized training and inference environments, including CI/CD automation for models. Partner with researchers, engineers, and systems teams to enable rapid iteration and robust deployments. What You Bring Strong experience with ML infrastructure, distributed training systems, and production-grade MLOps practices. Familiarity with containerization, orchestration, and reproducible ML workflows. Hands-on in experiment management, dataset governance, and automation tooling. A pragmatic mindset and ability to work across research and engineering functions. Why This Role Excites People Directly shape the backbone of ML systems that support real, high-impact AI research and autonomous behavior. Work with a tight-knit, world-class team tackling foundational problems at the intersection of ML, systems, and autonomy. Competitive salary, meaningful equity, and a strong benefits package.

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)

About the Opportunity We're partnering with several fast‑growing AI startups building next‑generation systems across healthcare, agentic AI, voice automation, and enterprise infrastructure. These teams are small, well‑funded, and moving fast - and they're looking for exceptional backend engineers who want to own massive pieces of the product and shape the technical foundation from day one. If you love 0→1 building, solving hard distributed systems problems, and shipping production AI features that real users rely on, this is the kind of environment where you'll thrive. What You'll Do Architect and build backend systems powering AI‑driven products (Python, Go, TypeScript) Design distributed systems, real‑time pipelines, and cloud‑native infrastructure (AWS/GCP/Kubernetes) Ship production‑grade LLM/AI features: embeddings, vector search, RAG, agent workflows Own features end‑to‑end - from design to deployment to iteration Collaborate directly with founders, researchers, and customers Make foundational technical decisions that shape the company's trajectory Work in a high‑velocity environment where speed, ownership, and craftsmanship matter What We're Looking For Core Experience 3-12+ years of backend or full‑stack engineering experience Strong proficiency in Python, Go, or TypeScript Experience with FastAPI, Django, Flask, or similar frameworks Deep understanding of distributed systems, cloud infrastructure, Kubernetes, CI/CD, and scalable APIs Hands‑on experience with LLMs, embeddings, vector databases, RAG pipelines, or agent systems Proven ability to build and ship production systems in fast‑moving environments Startup or 0→1 experience - or clear signals of excellence (top-tier companies, strong side projects, or founder experience) Bonus Points Experience in healthcare, fintech, or other regulated industries Exposure to voice AI, real‑time systems, or multimodal agents Strong product intuition and ability to work directly with users Open-source contributions or notable personal projects You'll Thrive Here If You… Love building from scratch and owning systems end‑to‑end Move fast, sweat the details, and enjoy solving ambiguous problems Want to work closely with founders and have outsized impact Prefer small, elite teams over large organizations Care about craftsmanship, performance, and reliability Are energized by AI and want to build real products, not research prototypes

You will work closely with data, product, and engineering teams to develop scalable AI systems and integrate models into production environments. Key Responsibilities Design, develop, and deploy machine learning and AI models for production use Build and maintain scalable data pipelines and model-serving infrastructure Train, evaluate, and optimise models for performance, accuracy, and efficiency Work with large datasets to extract insights and improve model outcomes Collaborate with product and engineering teams to translate business needs into AI solutions Monitor, test, and iterate on models in live environments Ensure best practices around model performance, reliability, and security Required Skills & Experience Strong experience in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning fundamentals and algorithms Experience deploying models to production environments (cloud or on-prem) Familiarity with data processing tools and pipelines Understanding of model evaluation, optimisation, and monitoring techniques Nice to Have Experience with large language models (LLMs) or generative AI Knowledge of MLOps tools and workflows Experience working with cloud platforms (AWS, GCP, Azure) Background in applied research or experimentation

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work

A growing team San Francisco is building the next generation of emotionally intelligent AI systems that combine language, voice, emotion, and visuals to make human and AI interaction feel natural. As a Founding Engineer, you will work directly with the founders to define, build, and scale the product from its core, applying LLMs and multimodal models to create technology that feels alive and human. What you will be doing Building and scaling multimodal AI systems that integrate LLMs, speech, and visual components Designing and developing internal developer tools to accelerate experimentation Working across Python to connect backend model serving with interactive frontends Shaping infrastructure, architecture, and product direction from the earliest stage What we are looking for Strong background in Python Experience with LLMs, embeddings, vector databases, or related AI frameworks Startup mindset with experience as an early hire, founder, or technical lead Excited by the intersection of language, voice, and human machine interaction Ideally a background in ROS, ROS2, Streaming, or Real Time Systems Why join Meaningful early equity in a company The chance to shape both product and culture from the ground up If you are curious about building AI that feels as well as thinks, I would love to hear from you. To apply or learn more: message Jake Denman at Breakthrough Talent.

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world. Job Title: AI/ML Engineer Duration:12 months Location: Stanford, CA 94305 (Hybrid) Position Overview The AI/ML Engineer will be a key technical contributor driving CGOE's AI transformation initiatives, with a focus on building and deploying intelligent, cloud-native applications including GenAI-powered systems, retrieval-augmented assistants, and data-driven automation workflows. Working at the intersection of machine learning, cloud engineering, and educational innovation, this role converts complex requirements into scalable, secure, and maintainable AWS-native AI systems that enhance teaching, learning, and operations across CGOE's global online programs. Top Requirements 3+ years deploying AI/ML applications in production environments. Strong experience with Python and AWS (serverless, microservices, CI/CD, IAM). At least one AWS Associate-level certification (e.g., Solutions Architect Associate, Developer Associate, SysOps Administrator Associate, Data Engineer Associate). Key Responsibilities AI Application & Systems Development Own the design and end-to-end implementation of AI systems combining GenAI, narrow AI, and traditional ML models (e.g., regression, classification). Implement retrieval-augmented generation (RAG), multi-agent, and protocol-based AI systems (e.g., Model Context Protocol/MCP) using modern frameworks such as LangChain and LlamaIndex or similar. Integrate AI capabilities into production-grade applications using serverless and containerized architectures (AWS Lambda, Fargate, ECS). Fine-tune and optimize existing models for specific educational and administrative use cases, focusing on performance, latency, and reliability. Build and maintain data pipelines for model training, evaluation, and monitoring using AWS services such as Glue, S3, Step Functions, and Kinesis. Cloud & Infrastructure Engineering Architect and manage scalable AI workloads on AWS leveraging services such as SageMaker, Bedrock, API Gateway, EventBridge, and IAM-based security. Build microservices and APIs to integrate AI models into applications and backend systems. Develop automated CI/CD pipelines to ensure continuous delivery, observability, and monitoring of deployed workloads (e.g., GitHub Actions, CodePipeline). Apply containerization best practices using Docker and manage workloads via AWS Fargate and ECS for scalable, serverless orchestration and reproducibility. Ensure compliance with **(e.g., FERPA, GDPR-style requirements) for secure data handling and governance. Collaboration, Culture & Continuous Improvement Collaborate with cross-functional teams (engineering, product, academic stakeholders, operations) to deliver integrated and impactful AI solutions. Use Git-based version control and follow code review best practices as part of a collaborative, agile workflow. Operate within an agile, iterative development culture, participating in sprints, retrospectives, and planning sessions. Continuously learn and adapt to emerging AI frameworks, AWS tools, and cloud technologies, contributing to documentation, internal knowledge sharing, and mentoring as the team scales. Requirements Education & Certifications Bachelor's degree in Computer Science, AI/ML, Data Engineering, or a related field (Master's preferred). At least one AWS Associate-level certification required; professional-level or specialty certifications (e.g., Machine Learning Specialty, Advanced Networking, Security) are a plus. Experience 3+ years of experience developing and deploying AI/ML-driven applications in production environments. 2+ years of hands-on experience with AWS-based architectures (serverless, microservices, CI/CD, IAM). Proven ability to design, automate, and maintain data pipelines for model inference, evaluation, and monitoring. Experience with both GenAI and traditional ML techniques in applied, production settings. Technical Skills Languages: Python (required); familiarity with Go, Rust, R, or TypeScript preferred. AI/ML Frameworks: PyTorch, TensorFlow, LangChain, LlamaIndex, or similar libraries for RAG and agentic workflows. Cloud & Infrastructure: AWS SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, EventBridge, Glue, S3, Step Functions, IAM, CloudWatch. Infrastructure as Code: AWS CloudFormation. DevOps & Tools: Git, Docker, AWS Fargate, ECS, CI/CD (GitHub Actions, CodePipeline). Data Systems: SQL/NoSQL databases, vector databases, and AWS-native data services for AI workloads. Desired Attributes Strong understanding of data engineering fundamentals and production-quality AI system design. Passion for applying AI to improve educational outcomes and operational efficiency. Excellent problem-solving, debugging, and communication skills. Demonstrated ability to learn rapidly, adapt to new technologies, and continuously improve. Commitment to ethical AI, data privacy, and transparency. Collaborative mindset with proven success in agile, team-based environments. Thrives in a fast-paced, evolving environment and proactively seeks opportunities to upskill and enhance processes. Success Metrics Timely delivery of scalable, maintainable AI solutions that meet stakeholder needs. High system uptime, performance, and cost-efficiency of deployed workloads. Consistent adoption of best practices in CI/CD, monitoring, and version control. Positive stakeholder feedback and meaningful contributions to team documentation, learning, and innovation initiatives. know more about current opportunities at LeadStack , please visit us on ********************************* Should you have any questions, feel free to call me on ************* or send an email on *****************************

Palo Alto, CA Our client is the single source of truth for headcount that aligns finance teams, talent teams, people / HR teams, and hiring leaders. Connected with your HCM, ATS, and financial planning system, Caro ensures all three systems stay in sync in real time, keeping your teams aligned and up to date on the latest and greatest. Role Overview We are looking for a Founding Engineer with 2+ years of experience to join our team in building a headcount platform for enterprise teams. This role is ideal for someone who thrives in a fast-paced startup environment, is excited to work directly with founders and early customers, and is motivated by delivering tangible impact. You will be instrumental in shaping our early product and contributing to our journey toward product-market fit. What you will do: Ship and iterate quickly while being thoughtful about trade-offs for quality. Collaborate with the founders on designing the best solution for our customers' problems. Interact directly with customers to diagnose and resolve issues in the product. Own large parts of the product independently, from technical design to shipping into production. Wear multiple hats, including engineering, product, and customer support.

New York or San Francisco (Hybrid) $180,000 - $200,000 + Equity The Company A fast-growing, venture-backed technology company building an end-to-end content engineering platform designed to help brands win visibility across traditional and AI-powered search. Used by thousands of marketers globally, the platform enables teams to understand how their brand appears across new discovery channels and to create high-quality, trustworthy content at scale. With teams across the US and internationally, the company is backed by top-tier venture capital firms and industry leaders and is on a mission to redefine how marketing, creativity, and intelligent systems work together. The Role As a Growth Engineer, you'll sit at the intersection of product, engineering, and growth. Your focus will be on building product-led experiences that attract, engage, and convert prospective customers. You'll create extensions of the core product that drive organic discovery and deepen user engagement, directly influencing how new users find and experience the platform. You'll work closely with senior stakeholders to design scalable systems that support experimentation, learning, and measurable business growth. Key Responsibilities Design and build product features and interactive experiences that introduce new users to the platform and demonstrate value Collaborate with product and engineering teams to ship integrations, extensions, and growth-focused features Use data, experimentation, and user feedback to iterate on product-led growth initiatives Build internal tools and automation to scale growth efforts and measure performance Partner cross-functionally to ensure growth initiatives align with wider business goals Requirements 2+ years' experience in software engineering, growth engineering, product engineering, or a startup environment Proven ability to take ideas from concept to production Ruby or Python experience Experience or interest in growth tooling, experimentation, and product analytics Comfortable working in a fast-paced, high-autonomy environment Benefits Equity in a rapidly scaling startup Competitive benefits package (location dependent) Flexible time off Parental leave Collaborative, fast-moving, and curious team culture TO BE CONSIDERED: Please either apply through this advert or email me directly via *******************************. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Ruby , Rails , Python , Django , Growth Engineering , Product Engineering

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Title: Thermal Test Engineer Contract (C2C) Bay Area, CA (Onsite) Responsibilities: Design, build, instrument, and automate testing equipment for electrical, thermal, and mechanical testing Work together with Design Engineers, Reliability scientists, Material scientists, Quality, and Service to identify failure modes and generate design validation and reliability test plans Perform component-level, system-level, and vehicle-level validation and reliability testing, simulating realistic and accelerated dynamic and environmental conditions Collaborate with test technicians as peers to achieve test objectives Investigate Power Electronics assembly and subassembly failures to drive product development and test improvement Identify and execute experiments targeting new technologies or critical failures Interface and simulate complex vehicular systems to validate firmware/hardware interactions Create novel ways to apply skills learned in the test lab to benefit vehicle products Skills Required: Basic working knowledge of Analog, Digital, and Power Electronics Circuits, general knowledge in Power Electronics, DCDC or DCAC Converters, High Voltage Circuits, Motor Drive/Control Circuit, Sensing circuits, and Microcontrollers is preferred Working experience with electrical test equipment (such as multimeters, DAQs, oscilloscopes, power supplies, and function generator) and hand tools and power tools Familiar with an object-oriented coding language and scripting (Python, MATLAB, etc.), experience in Python and data visualization is preferred Comfort with EDA software of Altium, OrCAD, Cadence, Eagle or equivalent. Working knowledge of mechanical CAD software of SolidWorks, CATIA or equivalent is preferred Basic understanding of Statics, Mechanics of Materials, Fluids, Heat Transfer, Measurement and Instrumentation, and Linear Circuits

About You: You will be working on our frontend built with Next.js, TypeScript, and Tailwind. It's a complex product with interactive, realtime systems that need to be coordinated. You should be immediately productive coming into a codebase on this stack. You are skilled at frontend architecture and can also turn Figma designs into reliable production code. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

We're partnered with a startup, lead by repeat founders and backed by one of Silicon Valley's leading VC's. They're building the data layer for bug fixing production code. This is an exciting opportunity to be Eng #2 at an AI coding based startup. If you've built something exciting with AI agents, and are excited by working on multi-agent reasoning systems, then please apply!

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Title: Thermal Test Engineer Contract (C2C) Bay Area, CA (Onsite) Responsibilities: Design, build, instrument, and automate testing equipment for electrical, thermal, and mechanical testing Work together with Design Engineers, Reliability scientists, Material scientists, Quality, and Service to identify failure modes and generate design validation and reliability test plans Perform component-level, system-level, and vehicle-level validation and reliability testing, simulating realistic and accelerated dynamic and environmental conditions Collaborate with test technicians as peers to achieve test objectives Investigate Power Electronics assembly and subassembly failures to drive product development and test improvement Identify and execute experiments targeting new technologies or critical failures Interface and simulate complex vehicular systems to validate firmware/hardware interactions Create novel ways to apply skills learned in the test lab to benefit vehicle products Skills Required: Basic working knowledge of Analog, Digital, and Power Electronics Circuits, general knowledge in Power Electronics, DCDC or DCAC Converters, High Voltage Circuits, Motor Drive/Control Circuit, Sensing circuits, and Microcontrollers is preferred Working experience with electrical test equipment (such as multimeters, DAQs, oscilloscopes, power supplies, and function generator) and hand tools and power tools Familiar with an object-oriented coding language and scripting (Python, MATLAB, etc.), experience in Python and data visualization is preferred Comfort with EDA software of Altium, OrCAD, Cadence, Eagle or equivalent. Working knowledge of mechanical CAD software of SolidWorks, CATIA or equivalent is preferred Basic understanding of Statics, Mechanics of Materials, Fluids, Heat Transfer, Measurement and Instrumentation, and Linear Circuits