Vehicle Dynamics Simulation Data Engineer
About The Position
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Simulation Data Engineer will create and implement the strategic vision for simulation data workflows, automation, and data infrastructure for the vehicle dynamics simulation team. This role will improve how simulation data is generated, managed, analyzed, and used in engineering decisions through scalable workflows, automation, and analytics.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, Statistics, Mechanical Engineering, Aerospace Engineering, or a related technical field
- 5+ years experience supporting CAE, simulation, or other engineering data workflows
- Experience in workflow automation, data processing, or tool development for engineering, simulation, analytics, or technical software teams
- Experience with GitHub, GitHub Actions or similar CI/CD tooling, and scripting for workflow automation and data analysis
- Experience with Databricks, SQL, and structured data management
- Strong problem-solving, analytical, communication, and cross-functional collaboration skills
- Demonstrated ability to create, communicate, and build support for a strategic vision around simulation data workflows, automation, and engineering analytics
Nice To Haves
- 7+ years experience supporting CAE, simulation, or other engineering data workflows
- Experience with simulation input/output data, post-processing tools, and engineering analysis pipelines
- Experience with Python, statistical analysis, and data quality or validation workflows
- Experience in automotive, vehicle dynamics, multibody simulation, or broader physical simulation environments
Responsibilities
- Create and improve workflows for simulation data generation, storage, traceability, analysis, and reuse
- Build automation pipelines for simulation execution, post-processing, reporting, and data quality checks
- Use GitHub, GitHub Actions, Databricks, and SQL-based tools to manage datasets and automate workflows
- Partner with simulation engineers and cross-functional teams to connect models, data, and analysis into efficient end-to-end workflows
- Standardize data structures, metadata, documentation, and best practices to improve speed, consistency, and reliability
- Drive cultural change toward data-driven, automated simulation workflows through example implementations, training, and ongoing guidance
Benefits
- Total Rewards resources
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
