Post Silicon Validation Engineer, AI Hardware

Tesla • Palo Alto, CA

8d • $104,000 - $228,000

About The Position

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 chips tailored to accelerate Tesla’s machine learning capabilities. Their work 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. 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.

Requirements

• 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)

Responsibilities

• 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
• Generating and verify ATPG patterns and perform gate-level simulations to debug complex test structures and support post-silicon silicon bring-up and ATE correlation

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees