Tesla Motors, Inc.
Machine Learning Performance Engineer, AI Hardware
Tesla Motors, Inc., Austin, Texas, us, 78716
What to Expect
Join Tesla's AI Hardware team to pioneer the next generation of AI accelerators and compute architectures for autonomous vehicles. In this role, you will focus on performance modeling, architectural exploration, and hardware-software co-design to optimize Tesla's custom machine learning silicon. The ideal candidate is an experienced hardware performance engineer, with strong understanding of ML applications, and is comfortable working rapidly in a small-team environment.
What You’ll Do
Develop performance models and simulation tools to evaluate hardware architectures for machine learning workloads
Analyze and optimize neural network performance on current and next-gen AI accelerators
Collaborate with hardware architects and software teams to identify bottlenecks, propose architectural improvements, and validate design trade-offs
Create benchmarking frameworks to assess performance, power, and latency of ML workloads
Conduct pre- and post-silicon performance analysis to correlate models with real-world hardware behavior
Drive hardware-software co-optimization by translating neural network trends into architectural requirements
Document and communicate findings to cross-functional teams to guide future hardware roadmaps
What You’ll Bring
Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
Previous industry/research experience in performance modeling, hardware architecture, or ML acceleration
Strong understanding of AI accelerators, GPU/CPU architectures, memory hierarchies, and parallel computing
Proficiency in Python/C++ for modeling, analysis, and automation; familiarity with ML frameworks
Knowledge of neural network architectures and their computational demands
Proven ability to work with hardware/software teams to translate algorithmic needs into hardware features
Clear documentation and presentation skills for technical and non-technical stakeholders
Knowledge of compiler optimizations or ML graph lowering is a plus
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:
Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
Employee Assistance Program
Sick and Vacation time (Flex time for salary 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
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What You’ll Do
Develop performance models and simulation tools to evaluate hardware architectures for machine learning workloads
Analyze and optimize neural network performance on current and next-gen AI accelerators
Collaborate with hardware architects and software teams to identify bottlenecks, propose architectural improvements, and validate design trade-offs
Create benchmarking frameworks to assess performance, power, and latency of ML workloads
Conduct pre- and post-silicon performance analysis to correlate models with real-world hardware behavior
Drive hardware-software co-optimization by translating neural network trends into architectural requirements
Document and communicate findings to cross-functional teams to guide future hardware roadmaps
What You’ll Bring
Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
Previous industry/research experience in performance modeling, hardware architecture, or ML acceleration
Strong understanding of AI accelerators, GPU/CPU architectures, memory hierarchies, and parallel computing
Proficiency in Python/C++ for modeling, analysis, and automation; familiarity with ML frameworks
Knowledge of neural network architectures and their computational demands
Proven ability to work with hardware/software teams to translate algorithmic needs into hardware features
Clear documentation and presentation skills for technical and non-technical stakeholders
Knowledge of compiler optimizations or ML graph lowering is a plus
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:
Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
Employee Assistance Program
Sick and Vacation time (Flex time for salary 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
#J-18808-Ljbffr