Software Engineer, ML Inference Compiler & Deployment, AI Frameworks

Tesla; Palo Alto (CA); On-site; USD 132,000 - 390,000; Full time

Job summary

Tesla is seeking a Software Engineer for its ML Inference Compiler & Deployment role. This position involves collaboration with AI engineers to optimize the AI inference stack powering Tesla's cutting-edge technologies, including Autopilot and the Optimus robot. Ideal candidates will have strong programming skills, specifically in Python and C++, along with experience in ML frameworks and algorithms.

Benefits

Health benefits with $0 payroll deduction

401(k) with employer match

Employee discounts and perks

Paid time off and holidays

Company Paid HSA Contribution

Qualifications

• Strong proficiency in Python and familiarity with C++.
• Experience with ML frameworks like PyTorch and JAX.
• Degree in Engineering or Computer Science required.

Responsibilities

• Develop and maintain software for Autopilot and Optimus AI inference stack.
• Integrate deployment stack with ML frameworks.
• Analyze and debug performance issues on systems.

Skills

Python

C++

ML frameworks

Debugging and performance analysis

Education

Degree in Engineering, Computer Science, or equivalent

Tools

PyTorch

JAX

MLIR

TensorRT

Job description

Software Engineer, ML Inference Compiler & Deployment, AI Frameworks

Join to apply for the Software Engineer, ML Inference Compiler & Deployment, AI Frameworks role at Tesla

Software Engineer, ML Inference Compiler & Deployment, AI Frameworks

Join to apply for the Software Engineer, ML Inference Compiler & Deployment, AI Frameworks role at Tesla

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What To Expect
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, powering Autopilot and our Humanoid Robot, Optimus.

In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to extract the maximum performance out of our 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.

What You'll Do

Write, debug and maintain robust software for Autopilot and Humanoid robot AI inference (Export / Compiler / Runtime) stack

Own the integration of our deployment stack with ML frameworks (PyTorch, JAX)

Keep up-to-date and collaborate with ML/compiler community to keep the stack compatible with latest developments

Expose internal features through new APIs, exposing performance-critical features to AI developers

Analyze and debug functional and performance issues on massively-parallel systems

Integrate and deploy AI models to the car and Optimus

What You'll Bring

Strong Python programming proficiency and C++ familiarity

Familiarity with modern ML architectures

Prior experience working with ML frameworks (PyTorch, JAX), with a focus on framework internals. Experience with ML compilers/runtimes is a plus (e.g. MLIR, XLA, PJRT, TensorRT)

Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability

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

Expected Compensation

$132,000 - $390,000/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

Seniority level

• Seniority level

  Entry 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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