Staff Software Architect - Virtualization, SIL, and AI‑Enablement

Role Overview

As a Software Architect, you will define the architecture for GM’s next‑generation virtual development platform, including SIL orchestration, AI‑enhanced simulation, data flows, and cloud‑native compute. You’ll build on your strengths in automation, embedded systems, and debugging while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation systems.

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, 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.

Qualifications

• 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.

Preferred Qualifications

• Experience designing simulation platforms at enterprise scale.
• Knowledge of automotive domain modeling and ontology.
• Experience with event‑driven architectures for simulation workflows.
• Experience with Agentic AI architecture and multi‑agent coordination.
• Advanced knowledge of ontology technologies and design patterns (Owl, RDF, SPARQL, automated reasoning).
• Advanced ML workflow experience (feature stores, model serving, vector DBs).

Compensation

The salary range for this role is $137,300 to $203,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. GM DOES NOT PROVIDE IMMIGRATION‑RELATED SPONSORSHIP FOR THIS ROLE.

Benefits Overview

• 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.
• GM Vehicle Purchase Plan for you, your family and friends.

Non‑Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, gender, sexual orientation, veteran status, disability status, or any other protected category.