Perception's systems  involve both onboard and offboard systems.

The onboard perception system runs on Waymo's autonomous driving cars and trucks. It is an extremely high functionality and high performance real-time system.

The offboard perception infrastructure supports engineering development of the onboard system. Our team works on the intersection of Perception, ML, systems and infrastructure. The Offboard team sits at the interface of machine learning and systems and supports our expansive ML development including data extraction, evaluation, debugging / visualization, data mining, etc.  This team also supports systems development including testing, performance analysis, deployment, etc. Waymo has a massive amount of sensor data logged from real-world driving, which is key to our engineering development, building a robust and scalable offboard Perception infrastructure is at the core of engineering excellence. 

You Will: 

• As a TL, will lead cross-organizational efforts to improve efficiency, deployment time, developer experience, maintainability and visibility of our systems.  

• Work model serving to enable our perception system to deliver better model performance

You Have:

• Strong in C++, and system design and distributed systems

• Familiar with Google Infrastructure: Flume, Spanner, Borg, Tensorflow, JAX, Guitar, etc.

• Able to work cross-functionally, lead and influence multiple teams, mentor  junior talent.

• Excited about building solutions to complex problems

• Experience in building large scale data pipelines with hundreds of users.

• Experience serving models under high volumes for complex ML first products.

• Willing to get their hands dirty and go full stack if need be.

• Experienced in robotics or machine learning.