Software Engineer, Generalist, Simulation

6 days ago


Palo Alto, United States Tesla Full time
What to ExpectAutopilot 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. 

As a Software Engineer on the Autopilot Simulation team, you will contribute to the development of the simulation by building models and simulation tools that are capable to virtually prototype the system for fast, iterative development and robust validation. Your responsibilities will be split between feature creation and tool development to allow for quicker workflow across the Autopilot team.

What You’ll Do
  • Contribute to the development of a modular, scalable simulation platform
  • Work with all members of the Autopilot team to understand the simulation requirements and develop tools to meet those needs
  • Keep up to date with the latest research/technologies in the fields of autonomous driving and simulation
  • Contribute to team member development through leadership
What You’ll Bring
  • Excellent software development skills in C++ and Python
  • Experience developing and delivering applications/simulation tools in an engineering application
  • Experience of hardware-in-the-loop simulation
  • Strong mathematical skills including linear algebra and numerical methods
  • Comfortable with Linux & Git
  • Enthusiasm to take on new challenges and learn new skills
  • Experience working with Unreal Engine 5
  • Experience in modeling one or more of: vehicle dynamics, sensors, control systems, stochastic systems
  • Degree in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields, with practical software engineering experience


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