ASIC SOC Methodology Design Engineer, AI Hardware

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 Teslas machine learning capabilities. A key part of this effort is Dojo Teslas custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Teslas 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.

This role focuses on developing and owning the EDA methodology flows that enable SOC design signoff spanning RTL integration static verification formal equivalence checking and timing constraint development across a large multi-block SOC.

Own RTL‑to‑PD integration and Spyglass lint sign‑off flow including filelistmethodology violation triage and waiver creation

Set up run andmaintainSpyglass CDC sign‑off flows configureDFxmode triage violations develop waivers and drive fixes with design teams

Define andmaintainRTL‑to‑SDC timing‑constraintmethodologyacross diverse IP blocks

Manage Spyglass RDC sign‑off flows perform reset‑domain analysis triage violations develop waivers and introduce robust reset scenarios with verification teams

Lead Conformal LEC formal equivalence checking RTL‑to‑RTL RTL‑to‑gate debug failures create constraints and conduct sign‑off reviews

Automate and enhancemethodologyflows using TCL and Python scripting

Collaborate with RTL design DFT timing and physical design groups to scale methodologies across the full SOC

Degree in Electrical Engineering Computer Engineering or equivalent experience

2 years of industry experience including internships working with digital design EDA tools

Hands-on experience with one or more Spyglass CDClintRDC Conformal LEC Formality or equivalent

Understanding of clock domain crossings reset synchronization and synthesis fundamentals

Proficiencyin TCL andor Python scripting

Familiarity with SDC constraint development

Elementary understanding ofDFxDFT scan modes and their impact on CDC and constraints

Experience with both Synopsys and Cadence EDA tool ecosystems

Exposure to RTLfilelistmanagement and build systems at SOC scale

Experience with physical design flows synthesisPnR timing analysis

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

401k 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