Sr. DFT 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.

Tesla’s AI Hardware team is looking for a DFT Engineer to work on custom ASIC design-to-production. You will help drive the state-of-the-art in testability, debug and safety to achieve high test coverage, quality, and safety needed to aggressively deliver very low DPPM, while optimizing the test cost. We are open to hiring in Austin, TX; Palo Alto, CA.

Responsibilities:
Define and implement various DFT features at RTL and gates using in-house flows

Work closely with the physical design team in achieving design closure with DFT features

Perform block-level scan insertion, ATPG, coverage analysis, and simulations

Run top-level test pattern retargeting and simulations

Identify design changes needed for improving test coverage

Work with test / product engineering team members on test pattern delivery and Si bring up

Requirements:
Knowledge of Testability techniques and features (Compressed Scan, Built-in-Self-Test, Loop-Back, Boundary Scan) covering digital logic domain, embedded memories and PHY/IO’s

Well versed in JTAG / 1500 / 1687 networks. BSDL, ICL and PDL knowledge preferable

Expertise in ATPG, coverage analysis, and zero-delay / SDF-based pattern simulations. Experience with Cadence DFT tools (Modus and Genus) or Mentor DFT tools (Tessent Shell) preferred

Good knowledge of Verilog, logic design, circuit design fundamentals as well as timing

Working knowledge of TCL, python (or another scripting language like Perl)

Experience in implementation of MBIST and knowledge of repair schemes, algorithms is a plus

Experience or working knowledge of SERDES, Analog /mixed-signal DFT techniques (like IOBIST, loop-backs etc.) is a plus

Post Silicon experience in Pattern conversion for Testers, Pattern Bring-up & Debug, Silicon Characterization etc. is a plus

Degree in Computer Engineering or Electrical Engineering or equivalent experience with evidence of exceptional abilities

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