Software Developer – Advanced AI

Job Description

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 (3rd or 4th year) 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 worl