We are building a high-performance team that is excited by complex engineering challenges and is passionate about making transportation safer, more affordable and accessible for all.
Tracking is a core technical problem for L4 self-driving vehicles and a key part of our autonomy stack. Self-driving cars need to track actors and estimate velocities around the vehicle to enable rapid and accurate decision making. The implementation must meet rigorous real-time constraints and report stable tracks for the car to accurately identify the 3D state of the world. Ultimately, we must not only solve the algorithm challenges but produce safety-quality high performance software. So this position is as much a software challenge as it is a core algorithm challenge.
We are looking for hands on candidates who can set the vision for, grow, and lead a strong technical team with a mix of vision, probabilistic filtering and LiDAR algorithm experience and strong software experience. We are looking for a team lead who will be deep in code, and is technically strong in software and strong in tracking algorithms — segmentation, clustering, data association, multi-extended object tracking and filtering, MHT or other registration algorithms. Candidates need not have worked on self-driving, or robotics applications.