Senior Software Developer- AI Enablement

The team develops and evolves CoSim/SIL infrastructure-including SoftECU and FMI-based capabilities, RestBus and SIMETH connectivity, HWIO and calibration enablement, build and CI/CD pipelines, and automated quality gates-while improving package consistency, test coverage, observability, and defect triage.

Their work enables engineering, calibration, and verification teams to validate embedded-platform software earlier and with greater confidence, supporting daily regression testing as well as complex, multi-variant, multi-domain virtual validation. Within the broader Virtualization and SIL Integration organization, the team collaborates closely with domain teams to deliver high-fidelity virtual environments and advance GM’s software-defined vehicle development process.

The Role:

As a Senior Software Developer , you will build the software that powers GM’s virtual development environments, SIL workflows, and AI-enhanced simulation capabilities. You bring strengths in automation, embedded systems, and problem-solving - and this role expands your exposure to cloud, data, ML fundamentals, and large-scale simulation architecture.

What You’ll Do ( Responsibilities ):

• Develop backend servicessupporting virtual ECUs,simulationorchestration, and model execution.
• Build tools for SIL workflowsincluding scenario execution, data capture, and automation.
• Integrate AI/ML componentsinto simulation orvalidationpipelines.
• Design APIsfor simulation control, artifact management, and orchestration.
• Optimizeperformanceforcompute-intensiveworkloads.
• Collaborate with DevOps and simulation teamsto ensure seamless integration.
• Contribute to CI/CD workflowsfor simulation and AI components., This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

• Bachelor’s degree (or higher) in Engineering, Computer Science, or related field.
• 7+ years of relevant experiencein software development, simulation, or embedded systems.
• Strong programming skillsin Python, C++, C#, or Java.
• Experience with simulation or virtualization(vECUs, FMUs, SIL).
• Understanding ofcloud servicesand distributed systems.
• Experience with CLI-based architecturefor tools design.
• Knowledge ofMCP-based architecture for AI tools design.
• Experience with databasesforsimulationmetadata and results.

What Will Give You a Competitive Edge ( Preferred Qualifications ):

• Optional AI skills: ML lifecycle basics, Vector search or embeddings, and model integration.
• Experience with microservicesforsimulationorchestration.
• Knowledge of Kubernetesfor runningcomputeworkloads.
• Performance tuningexpertisefor simulation or AI pipelines.
• Experience with automotive dataand domain modeling.
• Experiencewithontology-basedengineeringprocessesand architectureframeworks.
• Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning).

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.