Software Engineer, Rendering, Simulation

| Palo Alto, CA, USA
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Autopilot is of critical importance to Tesla's mission. It is safer, makes driving more enjoyable, and will ultimately deliver on the promise of self-driving cars. As a member of Tesla's Autopilot Simulation team, you will be in a unique position to accelerate the pace at which Autopilot improves over time. The main ways in which the simulation team realizes this is through building tools that enable Autopilot Software Developers to perform virtual test drives instead of real ones, testing all Autopilot software releases for regressive behavior and generating synthetic data sets for neural network training.

The foundation on which we build these elements is our simulation environment. We develop photorealistic worlds for our virtual car to drive in, enabling our developers to iterate faster and rely less on real-world testing. We strive for perfect correlation to real-world vehicle behavior and work with Autopilot Software Engineers to improve both Autopilot and the simulator over time. Our group is a cross-disciplinary team with people from various backgrounds and fields of expertise, like CS generalists, mechanical engineers, game developers, and computer graphics artists. As a member on this team, you will be challenged to learn about all these different disciplines and use your own expertise to further improve the scope and usability of our tools.

As an Autopilot Rendering Engineer, you will contribute to the development of Autopilot simulation by enabling and supporting the creation of photo realistic 3D scenes that can accurately model the driving experience in a wide range of locales and conditions.


  • Enhance the realism and performance of our in-house GPU ray tracer
  • Implement algorithms enabling real-time rendering of realistic scenes with complex lighting environments
  • Improve existing tools and features that enable the reproduction in Autopilot behavior in simulation


  • Extensive knowledge of light transport, appearance models, and color science
  • Experience researching, developing, and optimizing state of the art ray tracing techniques such as ReSTIR, denoising, and debiasing
  • Knowledge of modern graphics APIs and shader languages
  • Experience with optimization across CPU and GPU
  • Confidence with modern C++
  • Experience with modern physically based rendering engines
  • Excellent mathematics skills, including proficiency with linear algebra, calculus, and probability
  • Deep understanding of tradeoffs in engine performance, scalability, and maintainability
  • Experience with supporting tools, such as exporters, terrain editors, and GPU debuggers
  • Drive for excellence and constructive attitude

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)
  • LGBTQ+ care concierge services
  • 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

      $104,000 - $360,000/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.

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3500 Deer Creek Road, Palo Alto, CA 94304

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