Senior Software Developer – AI‑Enablement

GM of Canada Company; Markham; Hybrid; CAD 115,000 - 165,000; Full time

Benefits offered by this job

Paid time off

Health benefits

Life insurance

Pension plan

Vehicle purchase plan

Job summary

General Motors in Canada seeks a Senior Software Developer to build software powering GM’s virtual development environments, SIL workflows, and AI‑enhanced simulation capabilities. You will apply automation, embedded systems expertise, and problem‑solving to expand exposure to cloud, data, ML fundamentals, and large‑scale simulation architecture.

The role is hybrid, requiring three days in the office weekly, and involves backend services for virtual ECUs, scenario orchestration, AI integration,

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: ML lifecycle basics, vector search or embeddings, model integration.

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.

Skills

Software development

Python

C++

C#

Java

Embedded systems

Cloud services

CLI-based architecture

AI/ML basics

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, or related field

Tools

vECUs

FMUs

SIL

Kubernetes

Job description

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

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 basicsVector search or embeddingsModel 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 with ontology-based engineering processes and architecture frameworks.
• 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 WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits Overview

• 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 and your family

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.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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.

Accommodations

General 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 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.

Learn more about: Our Company Our Culture How we hire.

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.

Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).

As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.