Job DescriptionAt 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 RoleThe 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.
What You'll Do- 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
Required Qualifications- 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
Preferred Qualifications- 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
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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