- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Hardware
- Posted
- Apr 15, 2026
- Salary
- $159,000–$196,000 a year
Hardware Engineer, LIDAR Performance Validation
Job description
Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.
This role follows a hybrid work schedule (at least 3 fixed days in the office) and reports to the LiDAR performance lead.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
Job responsibilities
- 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.
- 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…
- 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…
- Comfortably transition between physics modeling, simulation, large-scale data analysis and hands-on prototyping & testing in the lab
Job requirements
- 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
- Excellent data analysis, presentation and technical communication skills
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