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Field Safety Engineer

Waymo · Mountain View, CA, USA · Mountain View (US-MTV-EMF680) · San Francisco (US-SFO-MKT555)

Roboticsonsiteentry-level$170k–$210k
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At a glance

Highlights

  • Build offboard field monitors to ensure fleet safety as operations expand.
  • Investigate driverless events and analyze field data to spot safety trends.
  • Turn real-world AV issues into proactive safety monitoring at scale.

What they offer

  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program

Ideal candidate

Recent PhD graduate in engineering or CS who is curious about data, writes clean code, and wants to turn real-world fleet events into safer autonomous driving. You enjoy collaborating across teams and communicating findings clearly.

Requirements

  • Ph.D. in Mechanical, Aerospace, Electrical Engineering, Computer Science or related field
  • Hands-on experience developing software for data analysis, system modeling or simulation
  • Ability to write clean, maintainable, well-documented code in Python or C++ for data analysis tools
  • Solid grasp of autonomous vehicle safety fundamentals such as modeling, control, dynamics, perception or ML
  • Curiosity to leverage data to answer safety questions from field events
  • Eagerness to build relationships across engineering teams to trace issues and collect data
  • Excellent written and verbal communication skills

Lab profile

About Waymo

Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.

What they build

  • Waymo Driver
  • Fully autonomous ride-hail service

Known for

  • Large-scale driving simulation
  • Simulation realism
  • Quantitative evaluations
  • Onboard autonomy models

Key facts

  • Founded in 2009
  • Started as the Google Self-Driving Car Project
More about Waymo →
Apply on the lab’s site ↗

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