Software Engineer, Perception Evaluation

Waymo
Mountain View, CA, USA / San Francisco, CA, USA / Mountain View (US-MTV-EMF680), Mountain View, California, United States2025-12-10

About the job

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Perception team at Waymo builds technology that powers the Waymo Driver, allowing it to perceive the world around it and make the right decision for every situation. The Sensor Health team ensures that all sensors are properly calibrated and consistently monitored, and they develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy their systems into the Waymo Driver and log processing backend.

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

Qualifications

Minimum

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

Preferred

MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience

Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)

Strong software architecture skills