SOC Product 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 have ownership in all silicon test aspects from conceptualization through high volume ramp for a successful commercialization of Tesla's AI SOCs.

We are open to hiring in Austin, TX;
Palo Alto, CA.

What You'll Do

* Define and execute optimal test strategies for productization of AI SOCs in advanced fab process & packaging technologies

* Define DOEs for failure analysis of silicon issues across bring up & qualification

* Drive adoption of corrective actions across test, process and design in collaboration with cross functional teams

* Partner closely with foundry, assembly, design & test partners from NPI bring up through high volume to optimize yield/quality/power/performance

* Evaluate silicon across foundry sources, assembly and test sources - drive corrective actions to achieve parity of key product specifications

* Set up test guard bands based on silicon data across characterization, correlation and qualification

* Optimize & innovate test content across wafer probe, final test & SLT to achieve throughput/cost/quality goals

What You'll Bring

* Degree in Electrical Engineering, Computer Science, or related fields, or equivalent experience

* Solid understanding of semiconductor device fundamentals, impact of variation on key SOC specifications

* Experience in volume data processing, statistical data analysis, Guage R&R analysis, scripting for automation

* 5+ years of experience in structural/functional/parametric test bring up Advantest 93K or Teradyne Uflex ATE platform

* Experience in cross platform correlation, production SLT platforms, qualification platforms is a bonus

Compensation and Benefits

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

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, 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.

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SOC Product Engineer, AI Hardware

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