T
ASIC SOC Methodology Design Engineer, AI Hardware
Accepting applicationsTesla · Austin, TX
Full-Time Mid_senior AIASICCadenceDFTPython
Posted
7h ago
Category
Design
Experience
Mid_senior
Country
United States
What To Expect
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 RTL‑to‑PD integration and Spyglass lint sign‑off flow, including filelist methodology, violation triage, and waiver creation
Set up, run, and maintain Spyglass CDC sign‑off flows, configure DFx mode, triage violations, develop waivers, and drive fixes with design teams
Define and maintain RTL‑to‑SDC timing‑constraint methodology across 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 enhance methodology flows 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
Proficiency in TCL and/or Python scripting
Familiarity with SDC constraint development
Elementary understanding of DFx/DFT scan modes and their impact on CDC and constraints
Experience with both Synopsys and Cadence EDA tool ecosystems
Exposure to RTL filelist management and build systems at SOC scale
Experience with physical design flows (synthesis, PnR, timing analysis)
Benefits
Compensation and 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
, Tesla
Show more Show less
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 RTL‑to‑PD integration and Spyglass lint sign‑off flow, including filelist methodology, violation triage, and waiver creation
Set up, run, and maintain Spyglass CDC sign‑off flows, configure DFx mode, triage violations, develop waivers, and drive fixes with design teams
Define and maintain RTL‑to‑SDC timing‑constraint methodology across 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 enhance methodology flows 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
Proficiency in TCL and/or Python scripting
Familiarity with SDC constraint development
Elementary understanding of DFx/DFT scan modes and their impact on CDC and constraints
Experience with both Synopsys and Cadence EDA tool ecosystems
Exposure to RTL filelist management and build systems at SOC scale
Experience with physical design flows (synthesis, PnR, timing analysis)
Benefits
Compensation and 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
, Tesla
Show more Show less