AV Safety Engineering Analytics Simulation Engineer (GPSSC)

General Motors is a company committed to advancing safety through innovation in autonomous vehicle technology. They are seeking an Engineer to support AV safety-related decision making by integrating data analytics capabilities and collaborating with various teams to develop performance metrics for automated driving systems.

Responsibilities:

• 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 an 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
• Demonstrated experience with autonomous vehicle simulation platforms, scenario development
• Programming & Frameworks: Python, SQL
• 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
• Working familiarity with descriptive statistics, managing bias in large data mining activities, experimental design, sampling strategies
• 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
• Experience in processing and analyses of large-scale vehicle motion and context related data to characterize driving performance
• Record of involvement in vehicle safety related discourse through conference participation or publications