Robotics Engineer, Self-Driving

As a member of the Self-Driving team, you will take on a highly cross-functional role to automatically label large amounts of data from the global Tesla vehicle fleet, train cutting-edge deep neural networks on these labels, and integrate the models with the rest of the Self-Driving software stack to support numerous state-of-the-art autonomous driving functionalities and safety-critical features.

We are looking for both generalists with a breadth of expertise who are excited to work across the entire pipeline, as well as specialists who can dive deep on specific modules.

• Develop offline state estimation, 3D reconstruction, and sensor fusion algorithms to automatically generate supervision for deep neural networks

• Train deep neural networks with large scale, auto-labelled datasets

• Design and implement tools, tests, and metrics to accelerate the data generation and model development cycles

• Integrate the models with the real-time embedded C++ software stack

• Work with planning & controls team to develop control policies on top of network outputs

• Minimum 3 years of experience writing production-level Python or C++

• Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and numerical optimization

• Exposure to a major deep learning framework such as PyTorch, TensorFlow, Keras, or MXNet

• Prior work in robotics, state estimation, visual odometry, SLAM, structure from otion, or 3D reconstruction

• Exposure to recent advances in differentiable rendering and neural rendering techniques is a plus