SOC Product Engineer, AI Hardware

Description:
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.

Responsibilities:
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

Requirements:
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 & 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