Vehicle Dynamics Simulation Data Engineer - generalmotors

Job Description

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 Role

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.

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