Machine Learning Hardware Performance Engineer, Self-Driving Hardware
Apply NowCompany: Tesla, Inc
Location: Austin, TX 78745
Description:
Join Tesla's 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 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.
Responsibilities
Requirements
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:
Responsibilities
- 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
Requirements
- Engineering 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
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:
- 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