About the role

Software Architect at GM defining architecture for next-generation virtual development platform. Focused on distributed simulation systems, AI-enhanced simulation, and cloud-native computing.

Responsibilities

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.
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.
Guide CI/CD integration for simulation and AI components.
Mentor developers and influence technical direction across teams.
Ensure security, observability, and reliability across the platform.

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 CLI-based architecture and MCP-based architecture for AI tools design.
Experience with ontology-based system design and architecture.
AI/ML integration experience for simulation or data workflows.
Knowledge of data engineering and storage patterns.
Experience with Kubernetes and container orchestration.

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.