General Dynamics Mission System International
defence and security
Co-opFall2026-SoftwareDeveloper,MachineLearningComputerVision-4Months
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“Co-op Fall 2026 - Software Developer, Machine Learning Computer Vision - 4 Months at General Dynamics Mission System International. Skills: Machine Learning, Computer Vision, Python, Data Pipeline, AI video analysis. Support the development of a standalone AI video analysis tool. Ingest high-fidelity video streams generated by an Unreal Engine 5 vehicle simulator”
What You'll Achieve.
Build bold; Deliver impact; Win together; Enhance national security; Strengthen communities; Protect the people we serve; Contribute to a safer, more secure world; Skills will directly impact programs that matter; AI perceives and interprets complex, dynamic environments; AI toolset that can be validated in a controlled virtual environment before moving toward real-world applications
Industry & Context.
Analytical Mindset; Troubleshoot why a model may be underperforming in specific simulated conditions
Must be registered with the Canadian Controlled Goods program, All workforce must be security assessed, Successful applicants must meet all applicable security requirements, Ability to obtain and maintain a Canadian government security clearance, Applicants may be required to meet additional security requirements in order to gain access to technical data, classified areas or information that is subject to international regulations, Must be eligible to work in Canada
What They're Looking For.
Must Have
Currently pursuing a degree in Computer Science, Data Science, Mathematics, or an Engineering discipline with a focus on Artificial Intelligence, Solid understanding of core ML concepts, particularly in Computer Vision (e. g. , CNNs, object detection frameworks like YOLO or SSD), Skills in Python, Interest in learning how to handle large datasets and automate the preprocessing of video frames and metadata, Ability to interpret model metrics (precision, recall, mAP) and troubleshoot why a model may be underperforming in specific simulated conditions, Communication skills to help coordinate data formats and synchronization requirements with the Unreal Engine development team, Must be eligible to work in Canada, Must meet all applicable security requirements, including but not limited to the ability to obtain and maintain a Canadian government security clearance
Nice to Have
Previous experience with Docker, Previous experience with Linux environments, Interest in synthetic data/Sim2Real challenges
What You'll Do.
Support the development of a standalone AI video analysis tool
Ingest high-fidelity video streams generated by an Unreal Engine 5 vehicle simulator
Use simulated data to train
and refine computer vision models
Develop scripts and workflows to process synthetic datasets
Ensure exported entities from simulation are correctly mapped to training architecture
Handle tasks such as object detection
Evaluate model performance against simulated data
Identify edge cases where AI struggles
Provide feedback to simulation developers to help generate more robust training scenarios
How You'll Work.
Team & Collaboration
Work closely with the simulation team to define 'ground truth' requirements; Coordinate data formats and synchronization requirements with the Unreal Engine development team
Communication Scope
Communication skills to help coordinate data formats and synchronization requirements
Full Job Description
Build bold. Deliver impact. Win together. At General Dynamics Mission Systems–Canada, we’re not just engineering technology — we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we serve. If you’re looking for meaningful work that contributes to a safer, more secure world, you’ll find purpose here. Every day, your skills will directly impact programs that matter. We are seeking an analytical and driven Co-op student for a 4-month term to support the development of a standalone AI video analysis tool. This role focuses on the "downstream" side of a simulation-to-reality pipeline. You will be responsible for ingesting high-fidelity video streams generated by an Unreal Engine 5 vehicle simulator and using that data to train, test, and refine computer vision models. Your work will directly impact how our AI perceives and interprets complex, dynamic environments. In this position, you will work closely with the simulation team to define the "ground truth" requirements needed for effective model training. You will develop scripts and workflows to process synthetic datasets, ensuring that the exported entities from the simulation are correctly mapped to your training architecture. This includes handling tasks such as object detection, classification, and tracking. You will evaluate model performance against the simulated data, identifying edge cases where the AI struggles and providing feedback to the simulation developers to help generate more robust training scenarios. This role offers a unique opportunity to work with synthetic data generation , a cutting-edge field in machine learning that bypasses the limitations of manual data labeling. You will gain practical experience in building a modular AI toolset that can be validated in a controlled virtual environment before moving toward real-world applications. It is an ideal placem
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