Senior Software Developer - Virtualization, SIL, and AI‑Enablement

External

General Motors · Markham, Canada

$115K–$165K/yrFull-timeHybrid2w ago

CI/CDEmbedded SystemsJavaKubernetesMicroservicesPython

Cover Letter Connect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

About 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 ( Qualifications ) Bachelor's or Master'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 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. Optional AI Skills: ML lifecycle basics Vector search or embeddings Model integration What Will Give You a Competitive Edge ( Preferred Qualifications ) 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 )

Benefits

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 WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.Benefits OverviewThe 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.About GMOur 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 UsWe 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.Non-Discrimination and Equal Employment OpportunitiesAccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-80Health insuranceDental insuranceVision insurancePaid time offParental leave

Additional Information

Job Description Vacancy Status: This posting is not for an existing vacancy within the organization and is open to new applications. AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role 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

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at General Motors? Share your experience

Interested in this role?

Apply on the company's website.

Cover Letter Connect