Staff SRAM Compiler Engineer, AI Hardware
Tesla, Palo Alto, CA, United States
What to Expect
The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence throughcutting-edgehardware 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 Teslaremainsa 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 onour in-house SOC designexpertise. This position entails the design,constructionand integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.
OurAI Hardware engineeringteam designs high-performance SoCs where memory architecture directlydetermineschip PPA. As a Staff SRAM Compiler Engineer, you will own SRAM compilation, configuration, and validation - partnering with architecture teams to define banking strategies anddeliveringmemory macros that maximize density, speed, and power efficiency. Your work sets the foundation for howcomputeblocksaccessmemory across the chip.
What You'll Do
Compile andvalidateSRAM 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
OptimizeSRAM configurations for maximum bit-cell density and access speed - drive aspect ratio, redundancy, and compileroptionchoices
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 -validatedfor implementation and signoff
Build andmaintainautomated SRAM compilation flows using agentic AI to generate, configure, andvalidatememory macros across design variants
Support RTL teams on SRAM hook-up - review wrapper RTL,validateinterface timing, and resolve connectivity and protocol issues
Drive SRAM BIST and redundancy integration -validaterepair schemes and yield enhancement strategies
Characterize SRAM timing across MMMC corners andvalidateagainst 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
Deepexpertisein 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
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 $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.
The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence throughcutting-edgehardware 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 Teslaremainsa 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 onour in-house SOC designexpertise. This position entails the design,constructionand integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.
OurAI Hardware engineeringteam designs high-performance SoCs where memory architecture directlydetermineschip PPA. As a Staff SRAM Compiler Engineer, you will own SRAM compilation, configuration, and validation - partnering with architecture teams to define banking strategies anddeliveringmemory macros that maximize density, speed, and power efficiency. Your work sets the foundation for howcomputeblocksaccessmemory across the chip.
What You'll Do
Compile andvalidateSRAM 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
OptimizeSRAM configurations for maximum bit-cell density and access speed - drive aspect ratio, redundancy, and compileroptionchoices
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 -validatedfor implementation and signoff
Build andmaintainautomated SRAM compilation flows using agentic AI to generate, configure, andvalidatememory macros across design variants
Support RTL teams on SRAM hook-up - review wrapper RTL,validateinterface timing, and resolve connectivity and protocol issues
Drive SRAM BIST and redundancy integration -validaterepair schemes and yield enhancement strategies
Characterize SRAM timing across MMMC corners andvalidateagainst 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
Deepexpertisein 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
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 $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.