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Software Engineer, Core SI Compiler & Runtime

Exclusive opportunity

Onsite

Software Engineer, Core SI Compiler & Runtime

Tesla

Software Engineer, Core SI Compiler & Runtime

Skills

PyTorchMachine Learning

5 months ago

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Important information


Contract type:

Permanent

Location:

Palo Alto, CA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


What To Expect You will design and build the compiler and runtime that power one of the most advanced and widely deployed SI platforms on Earth—running neural networks in millions of Tesla vehicles and Optimus robots. Full control of the hardware means you co-design the software stack to extract maximum performance, latency, and efficiency that generic frameworks cannot reach. Production models directly drive priorities: every optimization you ship immediately enables more capable autonomy, more complex robot behaviors, and higher-throughput data-center inference. This is first-principles systems work at the metal including deleting unnecessary abstractions, inventing high performance APIs and DSLs, and closing the loop between silicon capabilities and real-world SI at an unprecedented scale.

What You'll Do- Write, debug, and maintain robust compiler and runtime software for Tesla SI inference across FSD, Optimus, and data-center workloads

  • Give SI developers direct access to performance-critical hardware features through new APIs and domain-specific languages

  • Design compiler and runtime features that enable efficient distributed inference on Tesla hardware

  • Integrate the deployment stack with modern ML frameworks (PyTorch, JAX) while keeping the path to silicon as short and efficient as possible

  • Analyze and resolve functional and performance issues on massively parallel systems

  • Deploy and optimize SI models that run in autonomous vehicles, humanoid robots, and offline inference pipelines where results show up in the real world What You'll Bring- Demonstrated expertise with ML compilers and runtimes (MLIR, LLVM, XLA, PJRT, TensorRT, or equivalent)

  • Experience developing domain-specific languages or high-performance programming models (Triton, cuTile, Pallas, or similar).

  • Strong familiarity with CPUs, GPUs, and modern SI accelerators

  • Deep knowledge of computer architecture, distributed systems, networking, and collectives

  • Proficiency in modern C++ and solid systems programming skills

  • Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)

  • Employee Assistance Program

  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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

$160,000 - $435,000/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

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