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Software Engineer, SI Inference CoDesign

Exclusive opportunity

Onsite

Software Engineer, SI Inference CoDesign

Tesla

Software Engineer, SI Inference CoDesign

Skills

Deep LearningPythonPyTorchMachine Learning

8 months ago

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Important information


Contract type:

Permanent

Salary:

$140,000 – $390,000 / year

Location:

Palo Alto, CA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


What to Expect

Our team productionizes and experiments with novel ML models for our custom HW- we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / SI ASIC). The nature of this role is multi-disciplinary - you will work at the intersection of machine learning and systems by building the co-designing ML models and their developing the associated deployment infrastructure that enables the seamless training, deployment, and inference of all neural networks that run at Tesla SI.

What You'll Do

  • Build robust SI frameworks to lower neural networks to edge devices
  • Build robust SI infrastructure to train and fine-tune networks for Autopilot and Optimus on large GPU clusters
  • Deploy state-of-the-art neural networks on heterogenous compute, including Tesla’s in-house SI ASIC, with an aim to maximize network performance while minimizing latency
  • Collaborate with SI scientists and compiler engineers to effectively compress large models to run in low precision
  • Design and implement custom GPU kernels (CUDA / OpenCL) for efficient training and post-processing of network outputs

What You'll Bring

  • Proficiency with Python and C++, including modern C++ (14/17/20)
  • Proficiency with PyTorch or another machine learning framework
  • Proficiency with training and deploying neural networks for real-world SI
  • Proficiency with computer systems and computer architecture
  • Experience with CUDA

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

$140,000 - $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 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.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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