T
ML Modeling Engineer, AI Hardware
Accepting applicationsTesla · Palo Alto, CA
Full-Time Mid_senior AIC++PythonSicai
Posted
28 May
Category
Test
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. 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.
As a key member of the Tesla AI hardware team, the AI/ML Modeling Engineer will drive the modeling, and optimization of next-generation tensor compute hardware. This role requires a deep expertise in computer architecture, and proven proficiency in performance modeling and optimization. The ideal candidate has a thorough understanding of AI workloads, and thrives in fast-paced environments, delivering elegant, high-performance solutions that push the boundaries of AI hardware efficiency.
What You'll Do
Collaborate closely with system architects, micro architects, ML model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines
Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs, guiding informed decision-making
Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities
Analyze and assess implementations of machine learning algorithms on Tesla AI hardware, identifying bottlenecks and opportunities for improvement
Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands
Contribute to code reviews, testing, and debugging processes to maintain exceptional code quality and reliability
Stay abreast of cutting-edge advancements in AI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions
What You'll Bring
Degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability
In-depth knowledge of Large Language Models (LLMs), transformer architectures, including their training, inference processes, and optimization techniques
Strong expertise in CPU, GPU, and/or ML accelerator microarchitectures, with hands-on experience in performance characterization
Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools
Robust programming skills in C/C++, Python, or other relevant languages
Solid understanding of physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware development
Exceptional problem-solving abilities, capable of dissecting complex issues and devising innovative, practical solutions
Excellent communication and interpersonal skills, fostering effective collaboration across teams, including leadership and engineering stakeholders
Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools
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
$176,000 - $420,000/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
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. 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.
As a key member of the Tesla AI hardware team, the AI/ML Modeling Engineer will drive the modeling, and optimization of next-generation tensor compute hardware. This role requires a deep expertise in computer architecture, and proven proficiency in performance modeling and optimization. The ideal candidate has a thorough understanding of AI workloads, and thrives in fast-paced environments, delivering elegant, high-performance solutions that push the boundaries of AI hardware efficiency.
What You'll Do
Collaborate closely with system architects, micro architects, ML model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines
Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs, guiding informed decision-making
Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities
Analyze and assess implementations of machine learning algorithms on Tesla AI hardware, identifying bottlenecks and opportunities for improvement
Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands
Contribute to code reviews, testing, and debugging processes to maintain exceptional code quality and reliability
Stay abreast of cutting-edge advancements in AI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions
What You'll Bring
Degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability
In-depth knowledge of Large Language Models (LLMs), transformer architectures, including their training, inference processes, and optimization techniques
Strong expertise in CPU, GPU, and/or ML accelerator microarchitectures, with hands-on experience in performance characterization
Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools
Robust programming skills in C/C++, Python, or other relevant languages
Solid understanding of physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware development
Exceptional problem-solving abilities, capable of dissecting complex issues and devising innovative, practical solutions
Excellent communication and interpersonal skills, fostering effective collaboration across teams, including leadership and engineering stakeholders
Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools
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
$176,000 - $420,000/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
Show more Show less