Machine Learning Hardware Performance Engineer, Self-Driving Job at Tesla, Austin, TX

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  • Tesla
  • Austin, TX

Job Description

Machine Learning Hardware Performance Engineer, Self-Driving

Join to apply for the Machine Learning Hardware Performance Engineer, Self-Driving role at Tesla

Machine Learning Hardware Performance Engineer, Self-Driving

Join to apply for the Machine Learning Hardware Performance Engineer, Self-Driving role at Tesla

What To Expect
Join Teslas Self-Driving 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 Teslas 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 Computer Engineering, Electrical Engineering, Computer Science, or related field or equivalent experience
  • 3+ years of 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

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:
  • 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

, Tesla
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities

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Job Tags

Full time, Contract work, Temporary work, 16 hours, Flexible hours,

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