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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing evaluation frameworks and methodologies for autonomous systems, utilizing advanced statistical and machine learning methods to analyze large datasets and ensure alignment with automotive safety standards.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyStatistical AnalysisMachine Learning MethodsData Analysis Libraries
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsData AnalysisHypothesis TestingCausal AnalysisSimulation Data CorrelationMetric DevelopmentPerformance Data AnalysisAnomaly InvestigationEvaluation Framework DevelopmentEdge Case Identification
Soft Skills
CollaborationMentoringCommunicationProblem SolvingIndependence
Industry Keywords
Autonomous SystemsAutomotive Safety StandardsData-Use Best PracticesEvaluation MethodologiesPerformance Metrics
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead development of evaluation frameworks for autonomous systems
- Develop evaluation methodologies and metrics for on-road and off-board data
- Collaborate with Functional Safety and Systems Engineering teams to align metrics with automotive safety standards and launch readiness decisions
- Monitor metric and performance-data reliability, detecting drift, inconsistencies, and degradation
- Apply statistical methods to simulation and on-road data
- Develop statistical analysis methods for autonomous-vehicle performance data
- Convert disengagements and edge cases into procedural or generative simulation scenarios
- Identify edge cases and coverage gaps using fleet and evaluation data
- Build confidence in evaluation frameworks and communicate findings to technical leaders and stakeholders
- Correlate on-road and simulation data
- Analyze large datasets, investigate anomalies, and answer ambiguous performance questions
- Establish a self-service model for developers to understand change impacts
- Develop metrics, interpret trends, and collaborate with developers on action
- Advise and influence collaborators across teams and establish data-use best practices
- Mentor and collaborate with fellow engineers
- Introduce machine-learning methods for performance evaluation where appropriate
Requirements
What you’ll need- 5+ years of industry experience solving complex problems with large datasets
- Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field
- Strong Python and SQL skills
- Experience using data analysis libraries with large, complex datasets
- Experience applying advanced statistical and machine learning methods
- Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis
- Ability to work independently with minimal guidance and drive projects from problem definition through actionable results
- Ability to explain technical findings clearly to engineering partners and leadership
- Willingness to learn and teach new statistical and machine learning techniques
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
- Bonus compensation may be available
- Company equity may be available
- Hybrid schedule with in-office time or fully remote work option