Senior Software Engineer, Perception Verification

Waymo • San Francisco, CA

1d • Hybrid

About The Position

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results. In this hybrid role, you will report to a Technical Lead Manager, Perception Verification.

Requirements

• 5+ years of experience in Software Engineering for robotics, autonomous vehicles, computer vision, or other complex hardware/software systems
• Experience testing such systems at all levels from unit tests to comprehensive end-to-end test campaigns.
• Solid understanding of physics, geometry, bayesian statistics, and machine learning
• Proficiency in Python and C++
• Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise
• Ability to write clean, readable, and well-tested code, setting a strong example for code hygiene and maintainability

Nice To Haves

• 8+ years industry experience
• Proficiency in SQL
• Experience building numerical algorithms or scientific software
• Experience building or evaluating machine learning models in production
• Experience building and testing autonomous systems
• Experience using LLMs and VLMs in production environments

Responsibilities

• Develop measurement approaches and metrics to characterize performance and safety of our perception system against a diverse set of requirements
• Validate perception system analysis methodologies to assess their applicability to the requirements, communicate benefits and limitations to partner teams
• Integrate and deploy metrics and broader system characterization reports on fleet-wide data
• Accelerate verification processes by automating highly nuanced system characterization procedures
• Stand up durable data analysis and data mining pipelines to discover new faults and rare events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed