Software Engineer, ML Inference Compiler & Deployment, GPU, CPU

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

Job summary

A leading company in the automotive industry seeks a Software Engineer for ML Inference Compiler & Deployment. You will enhance AI platforms for Autopilot and humanoid robots, working on the inference stack and optimizing software to leverage performance. Ideal candidates should have a strong background in C/C++, experience with compilers, and a drive for innovation.

Benefits

Comprehensive medical plans

401(k) with employer match

Employee discounts and perks program

Paid Sick and Vacation time

Qualifications

• Proficient in modern C/C++ (C++14/17/20).
• Experience with ML compilers and frameworks is a plus.

Responsibilities

• Write, debug, and maintain software for Autopilot and Humanoid robot AI inference stack.
• Optimize the CPU and GPU backends for AI models.
• Collaborate with AI/runtime/OS/driver teams.

Skills

C/C++ programming

Python proficiency

Understanding of CPU/GPU architectures

Education

Degree in Engineering, Computer Science, or equivalent

Job description

Software Engineer, ML Inference Compiler & Deployment, GPU, CPU

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

Software Engineer, ML Inference Compiler & Deployment, GPU, CPU

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

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 for 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

Work with AI/runtime/OS/driver teams to enable efficient compilation and execution of the AI Models

Optimize the CPU and/or GPU backends

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

What You'll Bring

Proficient C/C++ programming C/C++ including modern C/C++ (C++14/17/20)

Basic Python proficiency

Prior experience working with compilers, with a focus on middle and backend. Experience with ML compilers and frameworks is a plus. (e.g. MLIR, XLA, TensorRT, LLVM, JAX, TVM)

Understanding of CPU/GPU architectures. Experience with GPU and/or CPU optimization

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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