ASIC RTL Design Engineer, AI Hardware

Description:
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.

Responsibilities:
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

Requirements:
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 & 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 + benefitsPay 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.