What are the responsibilities and job description for the Staff SRAM Compiler Engineer, AI Hardware position at Tesla?
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. Tesla's AI Hardware Team is looking for experienced, highly skilled VLSI engineers who enjoy working across the logic, circuit, methodology, and physical design levels. Our physical design team is growing to tackle a wider range of projects, building on our in-house SOC design expertise. This position entails the design, construction and integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.
Our AI Hardware engineering team designs high-performance SoCs where memory architecture directly determines chip PPA. As a Staff SRAM Compiler Engineer, you will own SRAM compilation, configuration, and validation — partnering with architecture teams to define banking strategies and delivering memory macros that maximize density, speed, and power efficiency. Your work sets the foundation for how compute blocks access memory across the chip.
What You'll Do
Compile and validate SRAM macros across depth, width, port, and mux configurations using industry memory compilers Partner with architecture teams to define banking strategies — evaluate tradeoffs between number of banks, port configurations, and access patterns to hit PPA targets Optimize SRAM configurations for maximum bit-cell density and access speed — drive aspect ratio, redundancy, and compiler option choices Analyze and minimize SRAM read and write power — characterize active, leakage, and retention power across PVT corners Own delivery of all SRAM physical and logical views — GDS, LEF, Liberty timing models, and abstracts — validated for implementation and signoff Build and maintain automated SRAM compilation flows using agentic AI to generate, configure, and validate memory macros across design variants Support RTL teams on SRAM hook-up — review wrapper RTL, validate interface timing, and resolve connectivity and protocol issues Drive SRAM BIST and redundancy integration — validate repair schemes and yield enhancement strategies Characterize SRAM timing across MMMC corners and validate against STA signoff requirements Evaluate new compiler releases and bit-cell options at advanced nodes — benchmark PPA against current baselines
What You'll Bring
Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent work experience 7 years of SRAM compiler and memory design experience on high-performance SoCs Deep expertise in SRAM banking, configuration, and PPA optimization Hands-on experience with industry memory compilers (ARM, Synopsys, Cadence, or equivalent) Strong understanding of SRAM read/write power, leakage, and retention characteristics Experience delivering complete SRAM macro views for physical implementation and signoff Ability to use agentic AI flows to automate SRAM compilation, configuration sweeps, and validation
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
Expected Compensation
$128,000 - $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.
, Tesla
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. Tesla's AI Hardware Team is looking for experienced, highly skilled VLSI engineers who enjoy working across the logic, circuit, methodology, and physical design levels. Our physical design team is growing to tackle a wider range of projects, building on our in-house SOC design expertise. This position entails the design, construction and integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.
Our AI Hardware engineering team designs high-performance SoCs where memory architecture directly determines chip PPA. As a Staff SRAM Compiler Engineer, you will own SRAM compilation, configuration, and validation — partnering with architecture teams to define banking strategies and delivering memory macros that maximize density, speed, and power efficiency. Your work sets the foundation for how compute blocks access memory across the chip.
What You'll Do
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:
$128,000 - $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.
, Tesla
Salary : $128,000 - $312,000