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

Role Summary

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.

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).

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

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.

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.

About the Company

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.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. 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. To learn more, visit How we Hire.

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 [email protected] 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.