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
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 Have
- 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
Compensation
$213,000—$270,000 USD. Equity: Waymo employees are also eligible to participate in Waymo’s equity incentive plan
