Staff Software Engineer– AI Enablement

General Motors is hiring a Staff Software Engineer to define the architecture for its next-generation virtual development platform. The role focuses on distributed simulation, AI-enhanced simulation, cloud-native compute, orchestration, and technical leadership across teams.

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

Requirements:

• Bachelor's degree (or higher) 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
• 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 ontology design patterns (Owl, RDF, SPARQL, Automated reasoning)
• Advanced ML workflow experience  (feature stores, model serving, vector DBs)