Senior Perception Architect

3 weeks ago

Mountain View, Arkansas, United States Waymo Full time

Waymo is a leader in autonomous driving technology, with a mission to be the most trusted driver. The company has a rich history, dating back to the Google Self-Driving Car Project in 2009. Our focus has always been on building the Waymo Driver, the world's most experienced driver, to improve access to mobility while saving thousands of lives lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can be applied to various vehicle platforms and product use cases. With over one million rider-only trips under its belt, the Waymo Driver has autonomously driven tens of millions of miles on public roads and tens of billions of miles in simulation across 13+ U.S. states.

Perception HAL Team

The Perception HAL team makes civilized Perception possible. We provide the stable sensing stack on which the Perception models run, which means providing and rendering sensor data (including fusion), calibrating and validating sensors, estimating weather and visibility, and making the whole stack deal gracefully with degraded sensing or failures. We interface with the Waymo HW teams and have a significant influence on the HW design of new sensors.

Job Description

We're looking for a lead to work on the architecture of Perception's alternate pipelines that are used when the main Perception stack can no longer be run. In this role, you will design the architecture and design of this stack, drive the work of engineers across the entire Perception team to implement it, and collaborate inside a larger, Waymo-wide working group to deliver an end-to-end solution.

Responsibilities
  • Be highly involved with the state of the art in ML model development in Perception (these projects are often where we can try our new tech)
  • Develop technical leadership across the whole Perception stack, and also well-positioned to collaborate beyond the team with hardware and behavior (planner etc.) teams and get great full-stack experience
Requirements
  • M.S. in Computer Science (or related fields) with 10 years work experience
  • 5+ years experience in developing, optimizing, evaluating, and deploying ML algorithms into large-scale software systems
  • Academic background and industry experience in one or more related fields: Machine Learning, Computer Vision, Computer Graphics & Rendering
Preferred Qualifications
  • Ph.D. in Computer Science (or related fields) and 7 years work experience
  • 3+ years' experience in simulation, perception, autonomous driving, and robotics
  • Direct experience in using or developing multi-modal foundation models
  • Strong background in perception related domains, such as transformer modeling, model scaling, self-supervised learning
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI

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