Waymo is looking to improve its autonomous driving technology by building a reliable sensor health system to ensure that sensors are properly calibrated and consistently monitored at all times.
Requirements
MS in Computer Science, Robotics, Math, Physics or equivalent industry experience
6+ years of experience in designing, training, and deploying ML-driven real-time robotics systems
4+ years of experience leading technical teams and setting technical directions
2+ years of people management experience
Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges
Familiarity with early fusion multi modal sensor models and their development challenges
Experience with rare instance or zero-shot detection problems
Responsibilities
Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration
Build a data flywheel to automatically generate suitable training data for rare instance sensor degradation events using VLMs
Own the entire sensor validation stack end to end
Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams
Other
MS in Computer Science, Robotics, Math, Physics or equivalent industry experience
6+ years of experience
4+ years of experience leading technical teams
2+ years of people management experience
PhD in Computer Science, Robotics, Math, Physics, or a related technical field (preferred)
