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Waymo

Builds self-driving AI and runs a robotaxi service

Hardware Engineer - LIDAR Performance Validation

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • A Master of Science degree with 5+ years of experience, or a PhD, in Electrical Engineering, Physics, Applied Physics, or an equivalent field.
  • Strong knowledge of depth-sensing technologies and hands-on experience prototyping or characterizing precision optical, electrical, or mechanical components and assemblies.
  • Experience developing and maintaining physics-based computational models to describe and quantify performance bounds of LiDAR or other optical sensing hardware.
  • Proficiency in data analysis, presentation, and technical communication.

Responsibilities

  • Work 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 designs meet top-level performance goals. Develop and maintain performance validation plans that scale from early bench prototypes to high-volume production.
  • Support the definition of test and calibration procedures to ensure LiDAR data quality at scale. Work with design and test engineers to develop testing procedures and performance acceptance criteria.
  • Design and oversee LiDAR field measurements and structured tests. Assess environmental impacts on LiDAR performance and help develop methods to detect and mitigate data-quality impacts through experimental design, data mining, and analysis.
  • Interface with LiDAR software, perception software, and systems engineers to triage field issues related to LiDAR data quality, and help derive requirements to ensure the LiDAR module meets system-level performance and safety goals.
  • Transition between physics modeling, simulation, large-scale data analysis, and hands-on prototyping and laboratory testing.

Desired Qualifications

  • A PhD in Physics, Applied Physics, Electrical Engineering, or a similar field.
  • Proficiency in data analysis using Python or C++.
  • Experience designing studies or experiments and conducting hypothesis testing; previous product development experience is a plus.
  • Experience working across multiple physics disciplines and hands-on experience with from-scratch analytical physics modeling, such as Matlab or Python.
  • A strong understanding of optical semiconductors and optical systems.

About the Company

Waymo

Builds self-driving AI and runs a robotaxi service

Waymo builds self-driving technology and uses it to run a ride-hailing service in which passengers summon electric cars with no one behind the wheel. In 2020, it became the first company to open fully driverless rides to the public, starting in metro Phoenix. Its system, the Waymo Driver, pairs cameras, radar and laser sensors called lidar with onboard computers whose AI predicts what nearby people and vehicles will do and drives the car. Riders pay per trip through the Waymo app, or through Uber in some cities, while Waymo and fleet partners keep the cars charged and maintained. Waymo began as a Google project in 2009 and became a separate Alphabet company in 2016; it is based in Mountain View, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$32.1B
Headquarters
Mountain View, CA
Founded
2009

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