Job Overview
Location
2 Locations
Job Type
Full-time
Category
Software Engineering
Date Posted
June 14, 2026
Full Job Description
📋 Description
- • Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, ensuring scalable execution across heterogeneous environments.
- • Define AI-enabled simulation patterns including scenario generation, model-based inference, and data pipelines to enhance virtual development platforms.
- • Design cloud-native compute platforms optimized for large-scale parallel and elastically scalable simulation workloads.
- • Establish API and service architecture for orchestration and data management across simulation and AI components.
- • Guide CI/CD integration for simulation and AI systems to ensure automated, reliable deployment pipelines.
- • Mentor software developers and influence technical direction across engineering teams to align with platform goals.
- • Ensure security, observability, and reliability standards are maintained across the entire virtualization and simulation platform.
- • Leverage expertise in backend and distributed systems to build robust, high-performance infrastructure for automotive virtual development.
- • Apply knowledge of virtualization and simulation technologies including vECUs and FMUs to solve complex engineering challenges.
- • Implement cloud architecture patterns using Kubernetes and container orchestration to support dynamic simulation workloads.
- • Integrate AI/ML workflows into simulation environments to enable data-driven decision-making and automated testing.
- • Apply data engineering principles and storage patterns to manage high-volume simulation data streams.
- • Utilize CLI-based and MCP-based architecture design for AI tooling and automation pipelines.
- • Employ ontology-based system design and architecture to structure simulation models and domain knowledge.
- • Collaborate with cross-functional teams to align simulation platform capabilities with automotive product development needs.
- • Drive adoption of event-driven architectures for simulation workflows to improve responsiveness and modularity.
- • Support the use of Agentic AI and multi-agent coordination in simulation environments to model complex system behaviors.
- • Apply advanced knowledge of ontology technologies including OWL, RDF, SPARQL, and automated reasoning to enhance system interoperability.
- • Implement advanced ML workflow components such as feature stores, model serving, and vector databases to power AI-enhanced simulations.
- • Design enterprise-scale simulation platforms that meet the demands of global automotive development teams.
- • Contribute to automotive domain modeling and ontology development to align simulation systems with real-world vehicle systems.
🎯 Requirements
- • Bachelor’s or Master’s degree in Engineering, Computer Science, or related field
- • 10+ years of relevant experience in software architecture, simulation, or distributed systems
- • Expertise in backend and distributed systems
- • Experience with virtualization and simulation (vECUs, FMUs, SIL)
- • Strong cloud architecture skills
- • Experience with Kubernetes and container orchestration
🏖️ Benefits
- • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
- • Healthcare, dental, and vision benefits
- • Life insurance plans to cover you and your family
- • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
- • GM Vehicle Purchase Plan for you, your family and friends
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About General Motors Company
General Motors Company designs, manufactures, and markets cars, trucks, crossovers, and automobile parts worldwide under the Chevrolet, Buick, GMC, and Cadillac brands. It also provides automotive financing through GM Financial and invests in electric and autonomous vehicle technologies, including the Ultium battery platform. Founded in 1908 and headquartered in Detroit, Michigan, GM operates manufacturing, assembly, and distribution facilities across North America, South America, Asia, and other regions.
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