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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing evaluation strategies for autonomous driving systems, with a strong foundation in probability, statistics, and data science. Proven ability to lead cross-disciplinary initiatives, ensuring stakeholder engagement and adherence to safety and performance standards.
Highest-signal resume keywords
Python ProficiencyData Analysis ExpertiseHazard Analysis MethodsAutonomous Robotics EvaluationStatistical And ML Methods
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ProbabilityStatisticsData SciencePerformance Targets DefinitionAcceptance Criteria DevelopmentTechnical Problem SolvingData Pipeline DevelopmentCounterfactual ReasoningReaction Time AnalysisAdvanced Metrics Design
Soft Skills
Excellent CommunicationCollaboration Across TeamsStakeholder EngagementLeadership
Tools & Technologies
SQLData Visualization ToolsMachine Learning FrameworksSimulation ToolsData Mining Tools
Industry Keywords
Autonomous DrivingSafety AnalysisSOTIFISO 26262UL4600AVSC Behavior CompetenciesWaymo Open DatasetNuScenesTrajectory ForecastingMotion Planning
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead evaluation initiatives across Prediction and Planning
- Define how autonomous driving behavior is measured, understood, and improved
- Act as the central authority on evaluation for Behavior teams
- Drive evaluation strategy for prediction and planning models, including open-loop and simulation-based assessments
- Design and implement advanced metrics for end-to-end model evaluation and system behavior
- Incorporate counterfactual reasoning and reaction time analysis into evaluation frameworks
- Develop data-mining strategy and assess training and evaluation dataset coverage
- Build tooling and pipelines and identify process gaps
- Collaborate with machine learning engineers, roboticists, Safety, Infrastructure, Operations, Legal, and Systems teams
- Drive design improvements and ensure features positively affect system safety, comfort, and assertiveness and meet launch criteria
- Influence development, evaluation, and deployment of next-generation autonomous driving capabilities
Requirements
What you’ll need- Bachelor’s degree and 7+ years of experience in Computer Science, Systems Engineering, Robotics, or a similar technical field (or Master’s/PhD and 5+ years of experience)
- Strong foundation in probability/statistics, data science, and scientific rigor applied to complex, multi-agent systems
- Proficiency in Python, SQL, and data analysis (visualization, statistics) in production environments
- Experience defining performance targets and acceptance criteria spanning safety, comfort, and assertiveness, producing analysis and evidence to justify them
- Demonstrated ability to tackle technical challenges, analyze cross-disciplinary problems, and propose innovative, maintainable solutions
- Proven ability to lead initiatives, drive alignment, and ensure stakeholder engagement throughout the development process
- Working expertise in hazard and safety analysis methods such as STPA, HAZOP, FMEA, and hazard analysis and risk assessment
- Experience using statistical and ML methods to quantify performance, detect regressions, and reveal patterns of system behavior at scale
- Deep experience with Prediction and/or Planning for autonomous robotics, including evaluating ML-based systems in production environments
- Experience with public AV datasets and benchmarks such as Waymo Open Dataset and nuScenes
- Deep understanding of standard industry metrics for trajectory forecasting and motion planning
- Prior experience using or building data pipelines at scale
- Excellent communication skills and ability to collaborate across distributed teams
- Familiarity with SOTIF, ISO 26262, UL4600, and AVSC behavior competencies and other industry standards
- Candidates must satisfy U.S. employment eligibility verification requirements through E-Verify
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
- Additional compensation may include a bonus or company equity
- Inclusive and diverse work environment