Vehicle Dynamics Simulation Data Engineer

General Motors; Milford Charter Township (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors seeks a Simulation Data Engineer to shape data workflows for vehicle dynamics simulation, designing scalable processes for data generation, storage, and analysis. You will build automation pipelines and collaborate with engineers to connect models, data, and analytics across end-to-end workflows.

The role emphasizes standardizing data structures, metadata, and best practices to improve speed and reliability, while driving a data-driven culture through training and guidance.

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

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

Skills

Workflow automation

Databricks

SQL

Data engineering

Python

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

GitHub

Databricks

SQL

Job description

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
• 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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home- so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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