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 Referrals increase your chances of interviewing at Tesla by 2x Sign in to set job alerts for Software Engineer roles. 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Full time, Temporary work, Summer work, Internship, Immediate start, Flexible hours,

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