Staff Software Architect – Virtualization, SIL, and AI‑Enablement

GM of Canada Company; Markham; Hybrid; CAD 137,000 - 203,000; Full time

Benefits offered by this job

Paid time off

Healthcare, dental, and vision

Life insurance

Pension plan

GM Vehicle Purchase Plan

Job summary

General Motors is seeking a Software Architect to define the architecture for a next‑generation virtual development platform, including SIL orchestration, AI‑enhanced simulation, data flows, and cloud‑native compute.

You will advance automation, embedded systems, and debugging while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation systems. The role requires 10+ years of expertise and a strong cloud/background in Kubernetes.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• 10+ years of software architecture, simulation, or distributed systems.
• Expertise in backend and distributed systems.
• Experience with virtualization and simulation (vECUs, FMUs, SIL).
• Strong cloud architecture skills.
• Experience with CLI-based architecture and MCP-based architecture for AI tools design.
• Experience with ontology-based system design and architecture.
• AI/ML integration experience for simulation or data workflows.
• Knowledge of data engineering and storage patterns.
• Experience with Kubernetes and container orchestration.

Responsibilities

• Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, ensuring scalable execution across heterogeneous environments.
• Define AI-enabled simulation patterns including scenario generation, model-based inference, and data pipelines.
• Design cloud-native compute platforms optimized for large-scale parallel, and elastically scalable simulation workloads.
• Establish API and service architecture for orchestration and data management.
• Guide CI/CD integration for simulation and AI components.
• Mentor developers and influence technical direction across teams.
• Ensure security, observability, and reliability across the platform.

Skills

Distributed systems

Backend architecture

AI/ML integration

Kubernetes

Cloud architecture

CLI-based design

Ontology design

Data engineering

Automation

Embedded simulations

Education

Bachelor’s or Master’s degree in Engineering/CS

Tools

Kubernetes

Job description

Job Description Vacancy Status: This posting is 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: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.

The Role As a Software Architect, you will define the architecture for GM’s next‑generation virtual development platform, including SIL orchestration, AI‑enhanced simulation, data flows, and cloud‑native compute. You’ll build on your strengths in automation, embedded systems, and debugging while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation systems.

What You’ll Do (Responsibilities)

• Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, ensuring scalable execution across heterogeneous environments.
• Define AI‑enabled simulation patterns including scenario generation, model‑based inference, and data pipelines.
• Design cloud‑native compute platforms optimized for large‑scale parallel, and elastically scalable simulation workloads.
• Establish API and service architecture for orchestration and data management.
• Guide CI/CD integration for simulation and AI components.
• Mentor developers and influence technical direction across teams.
• Ensure security, observability, and reliability across the platform.

Your Skills & Abilities (Qualifications)

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• 10+ years of relevant experience in software architecture, simulation, or distributed systems.
• Expertise in backend and distributed systems.
• Experience with virtualization and simulation (vECUs, FMUs, SIL).
• Strong cloud architecture skills.
• Experience with CLI-based architecture and MCP-based architecture for AI tools design.
• Experience with ontology-based system design and architecture.
• AI/ML integration experience for simulation or data workflows.
• Knowledge of data engineering and storage patterns.
• Experience with Kubernetes and container orchestration.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience designing simulation platforms at enterprise scale.
• Knowledge of automotive domain modeling and ontology.
• Experience with event‑driven architectures for simulation workflows.
• Experience with Agentic AI architecture and multi‑agent coordination.
• Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning).
• Advanced ML workflow experience (feature stores, model serving, vector DBs).

Compensation

The salary range for this role is $137,300 to $203,000. 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, your family and friends

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).

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