Senior Staff Technical Lead Manager, Degraded Driving

The Perception Team at Waymo builds the system that "sees" the world around the self-driving car. We conduct novel research to address real-world perception problems and collaborate with research teams at Alphabet. Here at Waymo, we have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale. Improvements deployed to our system can immediately advance our large fleet of autonomous vehicles.

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 make sure that all sensors are properly calibrated and consistently monitored at all times. We process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our sensors to our upstream customers. To this end, 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.

You will:

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  Lead and build a team of ML engineers in charge of quick and efficient sensing anomaly detection.

  
  
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  Shape a Waymo Driver that performs reliably even under difficult adverse sensing conditions.

  
  
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  Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams

  
  

You have:

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  Bachelor's degree in Computer Science, Engineering, or a related technical field

  
  
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  8+ years of experience in designing, training, and deploying ML-driven production systems

  
  
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  4+ years of experience leading technical teams and setting technical directions

  
  
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  2+ years of people management experience

  
  

We prefer:

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  Master's degree or PhD in Computer Science, Engineering, or a related technical field

  
  
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  Experience in robotics, autonomous systems, or related automotive industries.

  
  
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  Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges.

  
  
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  Familiarity with vision-based models and their development challenges

  
  
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  Experience with rare instance or zero-shot detection problems

  
  

#LI-Hybrid