The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Work closely with electrical, mechanical, manufacturing and reliability: engineers to develop and characterize high performance LiDAR systems and electro-optical subsystems
Develop bench characterization methods and accompanying physics-based: software models to ensure the design is on track to achieve top level performance goals. Develop and maintain performance validation plans that scale appropriately with the design lifecycle from early bench prototypes to high volume production
Support definition of appropriate test and calibration procedures to ensure: LiDAR data quality at scale. Work with design and test engineers to develop appropriate testing procedures and performance acceptance criteria.
Design and oversee execution of LiDAR field measurements and structured: tests. Assess impact of environmental conditions on Lidar performance, help develop methods to detect and mitigate data quality impact of adverse environmental factors through experimental design, data mining and analysis
Interface with LiDAR software engineers, perception software engineers and: systems engineers to help triage field issues related to LiDAR data quality, and aid in requirement derivation to ensure the LiDAR module upholds system-level performance and safety goals
Comfortably transition between physics modeling, simulation, large-scale data: analysis and hands-on prototyping & testing in the lab
What they're looking for
- Masters of science with 5+ years experience or PhD in Electrical Engineering,: Physics, Applied Physics or equivalent
- Strong knowledge of depth sensing technologies and hands on experience: prototyping/characterizing precision optical, electrical, or mechanical components and assemblies
- Experience with developing and maintaining physics-based computational models: to describe and quantify performance bounds of LiDAR or other optical sensing hardware
- Track record of innovation and solving challenging technical problems
