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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in safety engineering principles and quantitative data analysis, with proficiency in Python, SQL, and BI tools for building visual reports and dashboards. Capable of synthesizing complex vehicle operational data into actionable insights for safety improvements.
Highest-signal resume keywords
Safety Engineering PrinciplesQuantitative Data AnalysisPython ProgrammingBI Tools (Tableau, Looker, Plotly/Dash)Statistical 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
Data AnalysisRisk AnalysisVehicle DynamicsOccupant SafetySystem SafetyScripting (Python, SQL, R)Statistical MethodsData Integrity ValidationDashboard DesignAutomated Data Pipelines
Soft Skills
Technical CommunicationCollaborationAnalytical ThinkingProblem-Solving
Tools & Technologies
TableauLookerPlotlyDash
Industry Keywords
Autonomous Vehicle SafetyBenchmarking StudiesOperational Safety MetricsTelemetry DataSimulation Data
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Analyze vehicle operational data, incident logs, and autonomy performance indicators to identify safety trends and insights
- Support benchmarking studies evaluating autonomous vehicle safety performance against peer standards, regulatory expectations, and internal thresholds
- Design and maintain automated data pipelines, dashboards, and reporting artifacts for safety leadership and cross-functional partners
- Partner with Safety Engineering, Systems Integration, and Fleet Operations to translate analytical findings into actionable safety mitigations
- Synthesize vehicle telemetry, simulation data, and operational safety metrics into actionable reports and dashboards
- Objectively measure and elevate Zoox’s autonomous fleet safety standards against industry benchmarks
Requirements
What you’ll need- Currently pursuing a Master’s degree (or advanced degree) in Automotive Safety, Robotics, Mechanical Engineering, Systems Engineering, Data Analytics, or related technical discipline
- Good academic standing and enrolled at an accredited college or university throughout the internship
- Expected graduation date between Fall 2027 and Summer 2028
- Able to commit to a full-time, 12-week internship
- Ability to relocate to the Bay Area, California, for the duration of the internship
- Interns at Zoox may not use proprietary information for thesis or publication outside of Zoox
- Strong background in safety engineering principles, such as occupant safety, system safety, risk analysis, or vehicle dynamics
- Proficiency in quantitative data analysis and scripting, such as Python, SQL, or R
- Experience building visual reports and dashboards using BI tools, such as Tableau, Looker, or Plotly/Dash
- Solid grasp of statistical methods and ability to validate data integrity
- Strong technical communication skills to explain safety data to engineering and non-engineering stakeholders
Benefits
Comp & perks- Medical insurance
- Housing stipend
- Relocation assistance based on eligibility
- Hands-on experience with cutting-edge technology
- Mentorship from industry experts
- Opportunity to contribute to real projects
