Hybrid Milford, Michigan, United States of America Warren, Michigan, United States of America Full time

JR-202615271

• Job Description

• The Team:

• The CoSim Infrastructure, Quality, and Scalability team, within GM's Virtualization and SIL Integration organization, builds the foundational software, automation, and integration capabilities that make virtual ECUs and co-simulation environments reliable, reusable, and scalable across vehicle domains.

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.

• Your Skills & Abilities (Required Qualifications):
• + 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). \#LI-DH2 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}.The selected candidate will be required to travel