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General Motors
Milford, Michigan, United States of America; Milford Proving Ground - Bldg 31 - GPS Emissions; Warren, Michigan, United States of America
Source: General Motors careers · View original posting
From General Motors's posting. “We” and “our” refer to the employer.
Job Description
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.
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.
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 w ith ontology-based engineering processes and architecture frameworks .
Advanced knowledge of ontology technologies and ontology design patterns ( Owl, RDF, SPARQL, Automated reasoning ).




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.
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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