In this role, you will:
- Lead the definition, development, and evolution of progress metrics that measure the robotaxi’s ability to safely complete customers’ journeysDevelop robust methodologies for quantifying the readiness and maturity of the autonomous driving system against defined progress metrics.
- Model the performance impact of autonomy behavior and residual operational risks.
- Perform in-depth system analysis to derive comprehensive verification and validation (V&V) strategies for progress metrics.
- Communicate complex metric concepts, model outcomes, and actionable insights to diverse stakeholders and executives.
- Ensure end-to-end traceability of metrics to strategic goals and system performance targets, enabling continuous feedback loops.
Qualifications:
- M.S. or higher degree in an Engineering or Computer Science discipline
- At least 7 years of relevant professional experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems.
- Demonstrated experience in defining, implementing, and managing quantitative metrics and data pipelines for software or hardware systems.
- Proficiency in quantitative analysis/modeling tools and ability to use Python to interface with large-scale driving and simulation data sources.
- Strong understanding of complex software systems, preferably in robotics, autonomous driving, or aerospace.
- Collaborative team player with good written and in-person communication skills, capable of influencing, driving consensus, and presenting complex data to varied audiences including senior executives.
Bonus Qualifications:
- Metrics ownership experience in autonomous driving or robotics.
- Experience with other safety-critical systems.
- Experience with risk assessment or system analysis methodologies.
- Experience building out a large-scale process from conception to implementation.