About the job
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Perception Team at Waymo builds the system that 'sees' the world around the self-driving car. Within Perception, the Sensor Health team's job is to make sure that sensors 'just work' for the entire self-driving car software stack. We develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid remote/in-office role, you will report to a Senior Staff TLM.
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
Qualifications
Minimum
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
Preferred
PhD in Computer Science, Robotics, Math, Physics, or a related technical field
Experience in robotics, autonomous systems, or related automotive industries.
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