Software Engineer, AI Integration

Perimeter Medical Imaging AI

. Design, implement, and maintain software features, interfaces, services, and internal engineering tools .

Posted 10/23/2026full-timeToronto • CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformLinuxPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Design, implement, and maintain software features, interfaces, services, and internal engineering tools
Package and integrate validated AI models and data-processing components into product software and controlled engineering workflows
Develop robust interfaces between AI components, imaging systems, and other product software
Diagnose and resolve software defects across component and system boundaries
Participate in software design discussions, code reviews, technical planning, and release activities
Translate product and system needs into clear, testable software requirements and acceptance criteria
Develop and maintain unit, integration, regression, and system-level test automation
Support software verification and validation planning, protocols, execution, results, and defect resolution
Maintain requirements traceability and objective evidence throughout the software lifecycle
Work within Perimeter's Quality Management System, including design controls, risk management, configuration management, change control, and release documentation
Build and maintain reproducible pipelines for AI training, evaluation, packaging, versioning, and delivery
Improve traceability across source data, annotations, code, experiments, model versions, test results, and product releases
Automate repetitive engineering workflows while maintaining appropriate controls and review
Support data ingestion, OCT labelling infrastructure, clinical QA workflows, and internal developer tools
Maintain containerized development and deployment environments using Docker and applicable cloud services
Partner with AI scientists and research interns to move validated models and prototypes into tested, supportable product components
Partner with Systems and Quality and Regulatory teams to identify integration risks, support design reviews, and drive release readiness
Communicate technical decisions, risks, and trade-offs to technical and non-technical stakeholders

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering, or a related technical field, or equivalent practical experience
3+ years of hands-on software engineering experience building, testing, and maintaining production-quality systems
3+ years of experience developing software within a medical device QMS or a comparably regulated environment
Practical experience with software requirements, traceability, risk controls, verification and validation, defect management, and release documentation
Familiarity with IEC 62304, ISO 13485, ISO 14971, or related medical device software and quality standards
Strong proficiency in Python and ability to write clean, maintainable, well-tested code
Proficiency and experience with C++
Experience with unit, integration, regression, and automated testing
Experience with Git-based development, code review, automated build and test workflows, and Docker containerization
Experience integrating software components, services, data pipelines, or machine-learning models
Strong debugging and problem-solving skills across complex systems
Clear written and verbal communication and ability to work effectively across multiple technical disciplines
Sound judgment balancing delivery speed, automation, and regulatory controls
Experience with ML lifecycle practices, PyTorch or TensorFlow, MLflow, Linux, medical imaging/OCT/ultrasound/histopathology, MONAI/ITK, internal dashboards/annotation tools/data tooling, and AWS/GCP/LambdaLabs are preferred or additional advantages