Sr. DFT Engineer, AI Hardware

Tesla Motors
Austin, TX, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Boolean Algebra Code Coverage Computer Engineering Software Debugging Logic Synthesis of Circuits Perl (Programming Language) Joint Test Action (IEEE Standards) Python (Programming Language) Tcl (Programming Language) Verilog Scripting Hardware Acceleration
+1 more
Physical Design

Job description

We are open to hiring in Austin, TX; Palo Alto, CA. What You’ll Do

  • Define and implement variousDFTfeatures at RTL and gates usingin-house flows
  • Work closely with the physical design team in achievingdesign 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 ontest 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
  • Goodknowledge of Verilog, logic design, circuit design fundamentalsas well as timing
  • Working knowledge of TCL, python (or another scripting language like Perl)
  • Experience in implementation of MBISTand knowledge of repair schemes, algorithmsis a plus
  • Experience or working knowledge of SERDES, Analog /mixed-signal DFT techniques (like IOBIST,loop-backsetc.) is a plus
  • Post Silicon experience in Pattern conversion for Testers, PatternBring-up& Debug, SiliconCharacterization etc. is a plus
  • Degreein Computer Engineering or Electrical Engineering orequivalent experience with evidence of exceptional abilities

Benefits & conditions

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

About the company

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 aDFT Engineer to work on customASIC 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.

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