Staff Software Engineer– AI Enablement
About The Position
The CoSim Infrastructure, Quality, and Scalability team within GM’s Virtualization and SIL Integration organization develops foundational software, automation, and integration capabilities for reliable, reusable, and scalable virtual ECUs and co-simulation environments across vehicle domains. Its work includes CoSim/SIL infrastructure such as SoftECU and FMI-based capabilities, RestBus and SIMETH connectivity, HWIO and calibration enablement, build and CI/CD pipelines, and automated quality gates. The team improves package consistency, test coverage, observability, and defect triage to help engineering, calibration, and verification teams validate embedded-platform software earlier and with greater confidence. As a Staff Software Engineer, 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 will build on strengths in automation, embedded systems, and debugging while working with cloud orchestration, infrastructure as code, ML workflows, and distributed simulation systems.
Requirements
- Bachelor’s degree or higher in Engineering, Computer Science, or a 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, including vECUs, FMUs, and 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.
Nice To Haves
- 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, including Owl, RDF, SPARQL, and automated reasoning.
- Advanced ML workflow experience, including feature stores, model serving, and vector databases.
Responsibilities
- Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, enabling 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.
Benefits
- Medical, dental, and vision benefit options.
- Health Savings Account and Flexible Spending Accounts.
- Retirement savings plan.
- Sickness and accident benefits.
- Life insurance.
- Paid vacation and holidays.
- Tuition assistance programs.
- Employee assistance program.
- GM vehicle discounts.
- Incentive pay based on company performance, job level, and individual performance.
- Company vehicle evaluation program, subject to successful motor vehicle report review and program requirements.
- Relocation benefits for candidates who qualify under company policy.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
