AV Safety Engineering Analytics Simulation Engineer (GPSSC)General Motors • Baton Rouge, Louisiana, United States
AV Safety Engineering Analytics Simulation Engineer (GPSSC)
General Motors
- Baton Rouge, Louisiana, United States
- Baton Rouge, Louisiana, United States
Über
The Role The AV Safety Engineering Analytics team supports teams and stakeholders across the company by applying data science and simulations to autonomous vehicle safety. The team integrates continuous data streams from vehicle systems, company databases, third‑party services, federal agencies, and state DOTs to inform system design and quantify driving performance.
What You’ll Do
Contribute to the development of data analytics infrastructure that supports safety assurance analytics, bridging simulation and on‑road data.
Add and configure custom observers to evaluate simulation pass/fail criteria.
Develop trustworthy and explainable methods for validating the safety performance of automated driving systems.
Pilot and develop metrics for monitoring development operations and deployment in both simulation and real‑world environments.
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.
Leverage internal and external data sources for safety monitoring and maintain a reliable supply chain of continuously flowing data.
Integrate simulation technologies into solutions or workflows, ensuring end‑user requirements are met.
Implement cloud‑based, continuous uptime analytics solutions for monitoring driving performance and generate browser‑based interactive visualizations and periodic reporting artifacts.
Ensure that 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.
Required Qualifications
Bachelor’s degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience.
5+ years of experience using simulation for vehicle development and validation.
5+ years in autonomous vehicles, robotics, or a related field.
Experience with autonomous vehicle simulation platforms and scenario development.
Proficiency in Python and SQL.
Extensive experience with cloud‑based large‑scale processes, including event‑driven processing, serverless functions, containerization, and infrastructure as code.
Familiarity with descriptive statistics, bias management in large data sets, experimental design, and sampling strategies.
Knowledge of CI/CD, version control, Docker, Kubernetes, GitHub, Jira, Jenkins, Poetry, and Terraform.
Experience with data analysis and visualization tools such as Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy.
Strong communication, collaboration, and problem‑solving skills.
Preferred Qualifications
Experience processing and analyzing large‑scale vehicle motion and context data to characterize driving performance.
Publications or conference participation in vehicle safety disciplines.
Additional Requirements
Travel required: less than 25% of the time.
GM does not provide immigration‑related sponsorship for this role. Do not apply if you require sponsorship.
This role is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Equal Employment Opportunity General Motors is committed to being a workplace that is not only free of unlawful discrimination but also fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other similarly protected status in accordance with federal, state, and local laws.
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Sprachkenntnisse
- English
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