AV Safety Engineering Analytics Simulation Engineer
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Missouri • Texas • United States
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About the role
- Contribute to the development of data analytics infrastructure that supports safety assurance analytics, bridging simulation and on-road, addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real-world and simulation data.
- Add and configure custom observers to evaluate simulation pass/fail criteria
- Apply your engineering background and simulation experience to developing trustworthy and explainable methods for validating the safety performance of automated driving systems.
- Pilot and develop metrics for application in simulation and on-road for monitoring of development operations and deployment, and to establish sufficiency criteria for launch readiness.
- Collaborate with systems, safety, testing, and autonomy engineering teams to ensure simulation coverage of common and rare driving scenarios and ODD elements.
- Review simulation results to identify gaps between simulated and real-world performance.
- Develop methods for leveraging a variety of internal and external data sources for safety monitoring and contribute to the development of a reliable supply chain of continuously flowing data from a variety of sources (internal, external, simulation-based, on-road) to support safety assurance related activities.
- Drive the integration of simulation technologies into solutions or workflows, ensuring end user requirements are met.
- Implement cloud-based continuous up-time analytics solutions for monitoring driving simulated and real-world performance for safety and generating browser based interactive visualizations and periodic reporting artifacts.
- Actively contribute to ensuring the performance testing and validation performed in simulation is representative of real-world performance, and leads efficiently to deployment of trustworthy automated driving systems.
- Identify and drive opportunities to improve the efficiency, quality and transparency of safety analytics within GPSSC and across GM.
Requirements
- Bachelor’s degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience
- 5+ years of experience working in a field that employs simulation for vehicle development and validation
- 5+ years in autonomous vehicles, robotics or related field
- Experience in the following: Simulation: Demonstrated experience with autonomous vehicle simulation platforms, scenario development, Programming & Frameworks: Python, SQL Cloud & Big Data: Extensive experience in cloud-based large scale process including notifications, queuing, serverless cloud functions, event driven processing, code as infrastructure, containerization, process monitoring, process optimization, identity and access management, service to service access, etc.
- Statistics: Working familiarity with descriptive statistics, managing bias in large data mining activities, experimental design, sampling strategies.
- Dev Ops and Infrastructure as Code: CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform
- Data Analysis & Visualization: Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment
- Strong problem-solving mindset and a proactive attitude towards learning and self-improvement.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Opportunities for professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticssimulationsafety performance validationcloud-based analyticsdescriptive statisticsexperimental designCI/CDcontainerizationdata analysisvisualization
Soft Skills
communicationcollaborationproblem-solvingproactive attitudeself-improvement