Senior Software Developer – Virtualization, SIL, and AI‑Enablement
Work Arrangement
This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
As a Senior Software Developer , you will build the software that powers GM’s virtual development environments, SIL workflows, and AI‑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.
What You’ll Do (Responsibilities)
- Develop backend services supporting virtual ECUs,simulationorchestration, and model execution.
- Build tools for SIL workflows including scenario execution, data capture, and automation.
- Integrate AI/ML components into simulation orvalidationpipelines.
- Design APIs for simulation control, artifact management, and orchestration.
- Optimizeperformance forcompute‑intensiveworkloads.
- Collaborate with DevOps and simulation teams to ensure seamless integration.
- Contribute to CI/CD workflows for simulation and AI components.
Your Skills & Abilities (Qualifications)
- Bachelor’s orMaster’s degree 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 ofcloud services and distributed systems.
- Experience with CLI-based architecturefor tools design.
- Knowledge ofMCP-based architecture for AI tools design.
- Experience with databases forsimulationmetadata and results.
- Optional AI Skills:
- ML lifecycle basics
- Vector search or embeddings
- Model integration
What Will Give You a Competitive Edge (Preferred Qualifications)
- Experience with microservices forsimulationorchestration.
- Knowledge of Kubernetes for runningcomputeworkloads.
- Performance tuningexpertise for simulation or AI pipelines.
- Experience with automotive data and domain modeling.
- Experiencewithontology-basedengineeringprocessesand architectureframeworks.
- Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning)
Compensation
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILLNEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Benefits Overview
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
- Healthcare, dental, and vision benefits;
- Life insurance plans to cover you and your family;
- Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
- GM Vehicle Purchase Plan for you, your family and friends.
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