AV Safety Engineering Analytics Simulation Engineer

Role Overview

• 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.

Tech Stack

• Cloud
• Docker
• Jenkins
• Kubernetes
• Numpy
• Pandas
• Python
• SQL
• Tableau
• Terraform

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Opportunities for professional development