Job DescriptionThe 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 services supporting virtual ECUs, simulation orchestration, and model execution.
- Build tools for SIL workflows including scenario execution, data capture, and automation.
- Integrate AI/ML components into simulation or validation pipelines.
- Design APIs for simulation control, artifact management, and orchestration.
- Optimize performance for compute-intensive workloads.
- Collaborate with DevOps and simulation teams to ensure seamless integration.
- Contribute to CI/CD workflows for 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 experience in software development, simulation, or embedded systems.
- Strong programming skills in Python, C++, C#, or Java.
- Experience with simulation or virtualization (vECUs, FMUs, SIL).
- Understanding of cloud services and distributed systems.
- Experience with CLI-based architecture for tools design.
- Knowledge of MCP-based architecture for AI tools design.
- Experience with databases for simulation metadata 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 microservices for simulation orchestration.
- Knowledge of Kubernetes for running compute workloads.
- Performance tuning expertise for simulation or AI pipelines.
- Experience with automotive data and domain modeling.
- Experience with ontology-based engineering processes and architecture frameworks.
- Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning).
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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 <25% for this role.This job may be eligible for relocation benefits.
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