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 aSenior Software Developer, you will build the software that powers GM’s virtual development environments, SIL workflows, andAI‑enhancedsimulation capabilities. You bring strengths in automation, embedded systems, andproblem‑solving— and this role expands your exposure to cloud, data, ML fundamentals, andlarge‑scalesimulation architecture.
WhatYou’llDo (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).
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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.

Relocation benefits are available for candidates who qualify under company policy.


About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
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.
Benefits Overview
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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