Post Silicon Validation Engineer, AI Hardware

What To Expect The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting‑edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self‑Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI‑driven automotive and energy solutions, shaping a future where intelligent machines enhance human life. The role will focus on developing Post‑Silicon validation plan, tools, and infrastructure for Tesla’s custom SoCs and Platforms designs. As a Silicon Validation Engineer, the candidate will take on challenges like validating High‑Speed Serdes, perform system level power characterization, and troubleshooting complex hardware bugs and field returns. The candidate will regularly take part in hardware design and schematics review, firmware development, and building automated test infrastructures for running large volume of post silicon system level tests. The candidate will also possess good system‑level and architectural knowledge and some experience with DFT and PDE work. What You’ll Do Create and execute synthetic workloads that stress the various functional blocks inside the silicon platforms such as the GPU, Fabric, Neural Network, Camera Interface, etc. Assist in identifying and fixing any hardware bugs before going into production. Bring up and characterize Autopilot Custom Silicon and PCBA. Collaborate with diverse teams in hardware design, schematic reviews, firmware development, and building automated test infrastructures. Write test plans, develop test cases, and catch design bugs before production. Characterize and improve power and performance consumption at a system level. Generate and verify ATPG patterns and perform gate‑level simulations to debug complex test structures and support post‑silicon silicon bring‑up and ATE correlation. What You’ll Bring Degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience. Deep knowledge of computer architecture. Microcontroller & Embedded Systems Programming Experience in C/C++. Python and bash scripting and familiarity with git and version control systems. Design, verification or validation disciplines, system/platform level debug and root cause isolation, methodology and tools. Experience with Test Automation Framework Development. Familiarity with JTAG and/or Open OCD. Familiarity with Scan Chains and Memory Bist (MBIST). Benefits Medical plans with $0 payroll deduction. Family‑building, fertility, adoption and surrogacy benefits. Dental (including orthodontic coverage) and vision plans, both with $0 paycheck contribution. Company‑paid Health Savings Account (HSA) contribution when enrolled in the High‑Deductible medical plan with HSA. Healthcare and Dependent Care Flexible Spending Accounts (FSA). 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits. Company paid Basic Life, AD&D. Short‑term and long‑term disability insurance (90 day waiting period). Employee Assistance Program. Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays. Back‑up childcare and parenting support resources. Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance. Weight Loss and Tobacco Cessation Programs. Tesla Babies program. Commuter benefits. Employee discounts and perks program. Expected Compensation $160,000 - $282,000/annual salary + cash and stock awards + benefits. Pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. #J-18808-Ljbffr Tesla