What to Expect

Tesla is looking for a strong software engineer to drive the future of autonomy across all current and future generations of vehicles. Software is core to Tesla’s Autopilot, and motion planning is a key part to level 5 autonomy. As a Software Engineer on Motion Planning, you will contribute thought leadership and development horsepower across the entire product lifecycle in a highly collaborative environment. You will work on a lean team without boundaries to solve some of the most challenging problems in Autonomous Driving. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla’s customers.

What You’ll Do

Develop motion planning software and algorithms for autonomous vehicles
Reason about measurement as well as environmental uncertainty and develop algorithms that adapt well to imperfect information
Tackle problems across multiple domains including but not limited to high level decision-making, multi-agent interactions and trajectory generation
Assist with overall autopilot software architecture design, including designing interfaces between subsystems
Ship production quality, safety-critical software to the entirety of Tesla’s vehicle fleet
Leverage fleet data and state-of-the-art techniques in ML

What You’ll Bring

Production quality C++ and/or Python/PyTorch
Degree in Computer Science, Robotics, Physics, similar field(s) of study, or equivalent practical knowledge
Mathematical fundamentals, including : geometry, linear algebra, vector calculus, probability and statistics. Experience implementing this math effectively in software
Ability to rapidly prototype and test new algorithms
At least one of the following -

Shipped safety critical software for real time applications in a fast-pace environment
Experience developing modern planning approaches such as search, sampling, trajectory optimization and model predictive control on real robots.
Strong background in numerical optimization
Experience designing highly optimized software for games
Experience in Imitation, RL (especially offline/off-policy), modern NN architectures (such as GPT) or related techniques. Preference given to experience using “real world” datasets vs toy setups like MuJoCo.

Tesla Careers