обновлено 1 день назад
Vehicle Dynamics Simulation Data Engineer (Automotive)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Vehicle Dynamics Simulation Data Engineer (Automotive): Building scalable data workflows and automation pipelines for vehicle dynamics simulation with an accent on simulation data generation, traceability, analysis, and reuse. Focus on automating simulation execution, post-processing, reporting, data quality checks, and integrating GitHub Actions, Databricks, SQL, and engineering analytics.
Location: Hybrid in Milford, Michigan or Warren, Michigan; attendance at the assigned location at least 3 times per week.
Company
develops vehicles, battery systems, software, safety features, and connected mobility experiences.
What you will 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.
- Connect simulation models, data, and analysis into efficient end-to-end engineering workflows.
- Standardize data structures, metadata, documentation, and workflow best practices.
- Promote data-driven simulation practices through implementations, training, and ongoing guidance.
Requirements
- Bachelor’s degree in computer science, data engineering, software engineering, applied mathematics, statistics, mechanical engineering, aerospace engineering, or a related technical field.
- At least 5 years of experience supporting CAE, simulation, or engineering data workflows.
- Experience with workflow automation, data processing, or tool development for engineering, simulation, analytics, or technical software teams.
- Experience with GitHub, GitHub Actions or similar CI/CD tools, scripting, Databricks, SQL, and structured data management.
- Strong problem-solving, analytical, communication, and cross-functional collaboration skills.
- Existing work authorization is required; GM does not provide immigration-related sponsorship now or in the future.
Nice to have
- 7+ years of experience supporting CAE, simulation, or 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 physical simulation environments.
Culture & Benefits
- Work in a hybrid environment with regular in-person collaboration.
- Benefits support employee well-being at work and at home.
- Inclusive workplace focused on belonging, safety, and equitable opportunities.
- The role is not eligible for relocation benefits; relocation costs are the candidate’s responsibility.
Hiring process
- Role-related assessments and pre-employment screening may be required where applicable.
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