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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Artificial Intelligence
Posted
Dec 10, 2025
Salary
$175,000–$215,000 a year
Full-time

Software Engineer, Perception Scaling Evaluation

Job description

The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale.

The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack.

In this hybrid role, you will report to a Technical Lead Manager.

Job responsibilities

  • Dive deep into the Waymo Driver’s perception stack and build a deep understanding of its capabilities in various driving conditions
  • Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors
  • Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology
  • Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver
  • Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults
  • Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews

Job requirements

  • BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
  • 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products
  • Experience developing and conducting eval for large ML software systems
  • Strong experience programming in C++ with robust and efficient code

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