Senior Software Engineer, Evaluation And Metrics - Autonomous Vehicles

Details

Join a cutting-edge technology company focused on Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. This role is for a data scientist to lead the evaluation strategy for autonomous vehicle development by building scalable evaluation systems to derive actionable insights from real-world and simulated test data. The position involves owning a critical metric and evaluation workstream, guiding implementation, ensuring impactful outcomes, and aligning with broader multi-functional strategies.

Responsibilities

• Manage and implement product-critical metric and evaluation workstream within the broader autonomous vehicle validation strategy
• Develop robust methods for analyzing sophisticated, unstructured testing with real-world driving
• Deliver metric systems, dashboards, and analysis tools to drive product decisions
• Apply data science methods such as debiasing, sampling, and exposure modeling to ensure accurate critical metrics
• Collaborate closely with simulation, infrastructure, operations, and engineering teams to embed metrics in daily workflows
• Integrate on-road performance with upstream simulation efforts ensuring alignment between real-world outcomes and test coverage
• Influence metric adoption and alignment across teams through clear and consistent technical mentorship

Requirements

• 5+ years of experience in Data Engineering and Data Science roles
• BS/MS in Computer Science or equivalent experience
• Demonstrated experience in developing critical metrics systems or data products for complex, real-world or ML-based systems
• Hands-on application of statistical techniques including debiasing, sampling, exposure control, or experimental design
• Proficiency in Python, SQL, and scalable data tools such as Spark and BigQuery
• Strong product focus on usability and measurable impact
• Excellent collaboration and communication skills across technical teams
• Ability to clearly articulate evaluation reasoning and results to both technical and non-technical audiences

Preferred Qualifications

• Background in autonomous vehicles, robotics, or simulation domains
• Experience with simulation feedback loops tied to real-world performance
• Familiarity with performance validation for safety-critical systems in unstructured environments
• Exposure to labeling pipelines or automated evaluation tooling, including human-labeled and automated critical metrics
• Experience taking ownership of a data science workstream from strategy through implementation involving multi-functional coordination

Benefits

• Highly competitive salary range between $148,000 and $287,500 USD based on location, experience, and similar employee pay
• Eligibility for equity and comprehensive benefits
• Opportunity to work with some of the most forward-thinking and hardworking people in the technology industry
• Commitment to fostering diversity and equal opportunity employment