
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
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 Elevation Centre (MEC) three times per week at minimum, or other frequency dictated by the business.
About GM:
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real-world potential.
The Role:
This role is part of a group responsible for creating AI-augmented virtual environments to enable the development, verification, and validation of embedded controllers. You will support the integration of Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG) into our simulation and digital twin ecosystems.
Key Responsibilities
AI Prototyping Assist in developing and testing scalable AI systems, focusing on LLMs and hybrid AI-simulation pipelines.
Tool Integration Support the integration of AI agents and automation into core engineering tools and simulation frameworks.
RAG & Data Help develop strategies for data ingestion, embedding generation, and prompt optimization for engineering knowledge bases.
Virtual Modeling Create virtual controller models (HWIO, RTOS) and sub-system plant models, such as sensors and actuators.
System Deployment Work with MLOps practices to containerize and deploy AI microservices using Docker and cloud-native services.
Documentation & Support Create detailed documents for each release and assist with user testing and troubleshooting.
Required Qualifications:
Currently pursuing a Bachelors degree in Computer Science, Software Engineering, Computer Engineering, Mechatronics or a related field.
Eligible to work full-time, 40 hours per week for work 12 months (consecutive terms) in Canada
Proficient in Python
Preferred Qualifications:
Basic understanding of machine learning frameworks (e.g., PyTorch, TensorFlow, or HuggingFace).
Understanding of embedded controls software and automated build processes (e.g., Jenkins, gcc, Git).
AI/Simulation Fusion: Experience with MATLAB and Simulink in the context of plant model development or physical modeling.
Advanced AI Concepts: Exposure to RAG systems, prompt engineering, or AI agent architectures.
Automotive Tech: Familiarity with communication technologies such as CAN, LIN, and SPI.
Cloud & MLOps: Experience with Docker, Kubernetes, or cloud-native AI deployment.
Experience: Involvement in AutoDrive, EcoCAR, or other automotive-related clubs.
Proficient in Embedded C
The monthly salary range for this role is $4,264.00 to $5,200.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Sponsorship: PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
NOTE- YOU MUST BE ENROLLED IN A CO-OP OR INTERNSHIP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.
Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.
For more information about GM Canada, visit our website at www.gm.ca/careers
General Motors of Canada values diversity and is an equal opportunity employer.
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.
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, emailus 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.

General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.
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