What are the responsibilities and job description for the ASIC SOC Methodology Design Engineer, AI Hardware position at Tesla Motors, Inc.?
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.
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.
What You'll Do
- Own RTLtoPD integration and Spyglass lint signoff flow, includingfilelistmethodology, violation triage, and waiver creation
- Set up, run, andmaintainSpyglass CDC signoff flows, configureDFxmode, triage violations, develop waivers, and drive fixes with design teams
- Define andmaintainRTLtoSDC timingconstraintmethodologyacross diverse IP blocks
- Manage Spyglass RDC signoff flows, perform resetdomain analysis, triage violations, develop waivers, and introduce robust reset scenarios with verification teams
- Lead Conformal LEC formal equivalence checking (RTLtoRTL, RTLtogate), debug failures, create constraints, and conduct signoff 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
What You'll Bring
- 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 (CDC/lint/RDC), Conformal LEC, Formality, or equivalent
- Understanding of clock domain crossings, reset synchronization, and synthesis fundamentals
- Proficiencyin TCL and/or Python scripting
- Familiarity with SDC constraint development
- Elementary understanding ofDFx/DFT 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 (synthesis,PnR, timing analysis)
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
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.