Staff Software Engineer, ML Inference Compiler & Deployment, Optimus
Tesla
Staff Software Engineer, ML Inference Compiler & Deployment, Optimus
| Job Category | AI & Robotics |
|---|---|
| Location | Palo Alto, California |
| Req. ID | 234451 |
| Job Type | Full-time |
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As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus.
In this role, you will be responsible for the internal working of the AI inference stack running neural networks in Optimus and millions of Tesla vehicles. You will collaborate closely with the Optimus AI Engineers and AI Hardware Engineers to understand the full inference stack, co-design models to fit the target hardware, and optimize the compiler to extract the maximum performance out of the AI hardware.
The inference stack development is purpose-driven: deployment and analysis of production models inform the team's direction, and the team's work immediately impacts performance and the ability to deploy more and more complex models. With a cutting-edge co-designed MLIR compiler and runtime architecture and full control of the hardware, the compiler has access to traditionally unavailable features, that can be leveraged via novel compilation approaches to generate higher performance models.
- Develop, optimize, maintain, and debug the AI inference stack to support efficient inference on Optimus
- Co-Design models for efficient execution on AI HW
- Collaborate with AI/runtime/OS/driver teams to enable features required for efficient compilation and execution of the AI Models
- Analyze and debug functional and performance issues on massively-parallel systems
- Keep up-to-date and collaborate with ML/compiler community to keep the stack compatible with latest developments
- Proficient C/C++ programming (C++14/17/20)
- Basic Python proficiency
- Prior experience working with ML compilers (e.g. (e.g. MLIR, XLA, TensorRT)
- Experience with ML frameworks and ML architecture. (e.g. PyTorch, JAX, TF)
- Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
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
$120,000 - $360,000/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 is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
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