Job Description

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.

The Tesla AI Hardware team is looking for an ASIC RTL Design Engineer to work on industry leading AI accelerators in Palo Alto, CA. Candidate is expected to implement and document microarchitecture specifications, define system-level functional requirements, and deliver high quality design to achieve project targets.

What You’ll Do

• Micro-architecture specification and design
• Deliver Performance, Area and Power-efficient RTL design
• Specification, microarchitecture, and RTL design of accelerators, memory and network subsystems
• Work with the architecture and software teams to achieve design targets
• Balance performance, power, safety, and cost requirements
• Trade-off functional, physical and performance requirements
• Work with cross-functional teams, including implementation, verification, and performance engineers
• Design for synthesis

What You’ll Bring

• High performance (low latency, high bandwidth) design techniques
• Area and power-efficient complex RTL design
• Low power microarchitecture techniques
• Verilog RTL logic design
• Experience with simulators and waveform debug tools
• Knowledge of logic design principles, including timing and power implications
• Degree in Electrical Engineering, Computer Science, or equivalent experience
• 5 or more years of industry experience
• Experience with IEEE floating point is a plus
• Experience with high speed SERDES or SOC design is a plus

Compensation and 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

Expected Compensation

$160,000 - $312,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.