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What to Expect

This is a high-agency, hands-on role where you will own the architecture and realization of complex electronic systems for our programs. The role spans across systems including autopilot compute, cameras, IMU, infotainment, connectivity, sensing and vehicle communications.  You will serve as the technical anchor for the system, driving cross-functional decision-making that bridges the gap between hardware and software. The role demands high-level judgment to translate complex system interactions into clear, safety-first requirements. You will drive component designs from concept through implementation, defining validation strategies, and conducting system testing. Beyond the desk, you will implement prototypes, system bringup on bucks, lead deep-dive debugs, and support factory bringups to create the world’s most efficient and vertically integrated autonomous vehicles. 

What You’ll Do

• Apply systems engineering principles to distill high-level objectives into quantifiable constraints and actionable requirements for hardware and software teams
• Develop code to solve complex integration problems, develop prototypes, automate workflows, and bridge gaps between subsystems
• Lead discussions among a wide variety of engineers specializing in electrical, mechanical, firmware, manufacturing etc domains
• Execute vehicle-level test plans, utilize data analysis to validate software features and hardware interactions and triage issues
• Actively develop AI-enabled workflows to accelerate decision-making, requirement setting, and feedback analysis
• Be responsible for the overall functional and performance maturity of a system and its features from early prototyping to full deployment
• Lead the triage and debugging of complex hardware and software interactions during design, launch, and deployment
• Exercise critical thinking and leadership to manage system program priorities, support multiple vehicle projects simultaneously, and communicate technical risks to cross-functional stakeholders

What You’ll Bring

• Degree in Electrical Engineering, or related field with a focus on embedded systems or equivalent experience
• Fluency in developing code to solve engineering problems (Python, C++, or similar). You must be comfortable building your own tools and simulations
• Demonstrated ability to develop and use AI tools for engineering tasks, including requirement generation, code assistance, and data synthesis
• Strong "systems thinking" approach with the ability to understand n-th order impacts of software and process changes on the wider vehicle architecture
• Exceptional critical thinking, problem-solving, and communication skills. You must be able to lead through influence and judgment
• Relevant industry or academic experience in systems integration, debugging complex subsystems, or software-defined hardware environments is a plus
• Proficiency in data visualization and analysis tools (MATLAB, Python, etc.) to drive engineering decisions
• Understanding the hardware and software development lifecycle, including Functional Safety (HARA, FSC, TSC, System FMEA, FMEDA) and validation processes
• Strong knowledge of one or more topics among embedded systems, such as microcontroller architecture, interfaces e.g. SPI, I2C, vehicle communication networks (CAN, Ethernet), power converters, high performance compute architectures and interfaces, e.g. DDR, PCIe, FPD and electromechanical systems is required; the ability to expand into other topics and integrate these systems is paramount

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.

Apply at: https://www.tesla.com/careers/search/job/268633?source=BA