SOC Yield & Diagnostics 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. Candidate in this role will own setting up volume diagnostic flows for ATPG/BIST, analyzing volume data, driving corrective actions with foundry to accelerate yield ramp. We are open to hiring in Austin, TX; Palo Alto, CA. What You’ll Do Architect & set up volume diagnostic data processing pipelines for SOC logic & memory Partner with EDA vendors, integrate AI‑based deep learning techniques to improve diagnostics convergence, fault isolation and failure analysis success Collaborate with foundry partners to accelerate defect reduction – build defect paretos, recommend FA candidates, validate improvements from process changes Develop models to predict yield trends, detect anomalies, prefetch corrective actions Work with DFT and PTE tams to root cause qualification fails/field returns, aid development of new tests targeting specific fault types What You’ll Bring Degree in Electrical Engineering, Computer Science or related fields, or equivalent experience 5+ years of experience in ATPG and SRAM BIST diagnostics, fault isolation, failure analysis Solid understanding in CMOS fabrication process in latest FinFET/GAA technologies Good understanding of DFT implementation of ATPG and MBIST Experience using industry standard EDA diagnostics offerings from Tessent/Synopsys Strong automation skills – building python based AI data analysis routines is a bonus Benefits Compensation and Benefits Along with competitive pay, as a full‑time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > plan options with $0 payroll deduction Family‑building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Accounts) 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 to include: 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 - $312,000/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