Software development jobs in Toronto, ON and nearby

Software development jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 2,525
Employers: 728

Advertised starting pay

Average starting payCAD / year: $117,258Across 232 listings
Average starting payCAD / hour: $61.42Across 101 listings
Average starting payUSD / year: $152,130Across 54 listings
Average starting payUSD / hour: $56.98Across 13 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 44%1,100 listings
On-site: 56%1,410 listings

Not specified: 1% (15 listings)

Employers hiring include S M Software Solutions Inc (223), Amazon (59), Virtusa (53).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Toronto, ON and nearby

Within 25 km

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Added 2 days ago
C
Software Developer Embedded Systems I (Co-op) - Canada
Cisco
Toronto, ON
- Full-time
Added 2 days ago
C
Software Developer Full Stack / Backend I (Co-op) - Canada
Cisco
Toronto, ON
- Full-time
Added 2 days ago
C
Software Developer Embedded Systems I (Co-op) - Canada
Cisco
Toronto, ON
- Full-time
Added 2 days ago
DD
Senior Software Engineer - Backend
Dominion Dynamics
Toronto, ON
- Full-time
Added 2 days ago
T
Full Stack Software Engineer
TEKsystems
Toronto, ON
- $90 CAD / hour
- Contract
…servicing and renewals technology pod. This role combines hands-on software development, technical leadership, production application ownership, compliance delivery, and continuous…
Added 2 days ago
J
Senior Full Stack Software Developer (Java/React, Dynamics 365 & Power Platform)
Joblinxsapp
Toronto, ON
- Full-time
Added 2 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 2 days ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Added 2 days ago
W
Software Engineer II, Supplier Advertising
Wayfair
Toronto, ON
- $151,411 to $169,169 CAD / year
- Full-time
Added 2 days ago
JG
Salesforce Communications Cloud Developer
J&M Group
Toronto, ON
- Contract
Minimum 4 years of experience in Salesforce development.
Added 2 days ago
W
Software Engineer III, Supplier Advertising
Wayfair
Toronto, ON
- $192,047 to $211,914 CAD / year
- Full-time
Added 2 days ago
FG
Web Application Developer
Flynn Group of Companies
Mississauga, ON
- $70,000 to $110,000 CAD / year
- Full-time
Added 2 days ago
W
Software Engineer II, Supplier Advertising
Wayfair
Toronto, ON
- $151,411 to $169,169 CAD / year
- Full-time
Added 2 days ago
PG
Fullstack Developer
Pacer Group
Mississauga, ON
- $120,000 to $130,000 CAD / year
- Full-time
7-8 years of relevant experience in Apps Development roles
Added 2 days ago
TC
Full Stack Developer – Wealth Management
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 2 days ago
AC
RQ11720 - Software Developer - Senior
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
Must have experience leading teams and managing development teams.
Added 2 days ago
PM
Software Engineer, AI Integration
Perimeter Medical Imaging AI
Toronto, ON
- Full-time
The Software Engineer, AI Integration will play a key role in moving validated AI models and workflows into Perimeter's regul
Added 2 days ago
PM
Software Engineer, AI Integration
Perimeter Medical Imaging AI
Toronto, ON
- Full-time
The Software Engineer, AI Integration will play a key role in moving validated AI models and workflows into Perimeter's regul
Added 2 days ago
QI
Application Architect (Azure Cloud)
Quality IT Resourcing
Toronto, ON
- Contract
· Bring strong hands-on software development experience, with the ability to review code, develop prototype
Added 2 days ago
B
Software Engineer - Billing & Internal Tooling
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Added 2 days ago
AI
Java Backend Engineer with SRE & Guidewire expereince
Apptoza Inc.
Toronto, ON
- Full-time
…(known as "toil"), aiming to spend roughly 50% of their time on software and engineering…
Added 2 days ago
Q
Full Stack Software Developer (Java/React)
Querentia
Toronto, ON
- Contract
We are seeking an experienced Full Stack Software Developer with strong technical leadership capabilities and expertise in enterprise application development, Microsoft Dynamics 365, Power…
Added 2 days ago
RT
Software Developer - Full Stack - Senior
Russell Tobin
Toronto, ON
- $80 to $95 CAD / hour
- Contract
Job Title: Software Developer - Full Stack - Senior
Added 2 days ago
Q
Senior Software Engineer
Querentia
Toronto, ON
- Contract
Added 3 days ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Algorithm & Pipeline Development: Design, implement, and evaluate image signal processing (ISP) algorithms, color calibration techniques, and computational photography workflows.

Perimeter Medical Imaging AI

Software Engineer, AI Integration

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Overview

Perimeter Medical Imaging AI is a medical technology company transforming cancer surgery with ultra-high-resolution, real-time imaging and AI-enabled technologies. Our mission is to advance the standard of care, improve patient outcomes, and reduce healthcare costs by giving surgeons enhanced visualization of microscopic tissue structures in the operating room.

The Software Engineer, AI Integration will play a key role in moving validated AI models and workflows into Perimeter's regulated medical device software. Embedded within the Software Engineering team, this person will build, test, integrate, and maintain reliable software, working closely with the AI and Data, Systems, and Quality and Regulatory teams. This is a hands-on delivery role, not primarily a model-research position.

The ideal candidate has experience developing software within a medical device QMS or a comparably regulated environment. They are equally comfortable writing well-tested Python, building automation for AI training and model delivery, and producing the verification evidence and traceability that regulated releases require.

This person should be excited by the opportunity to work at the intersection of AI, medical imaging, and regulated product development.

Key Responsibilities

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 cumbersome or 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 tools such as 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 clearly to technical and non-technical stakeholders.

Education and Experience

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.
Experience with ML lifecycle practices such as reproducible training pipelines, experiment tracking, dataset and model versioning, deployment, and monitoring preferred.
Experience with PyTorch or TensorFlow and tools such as MLflow preferred.
Experience working in Linux-based environments is a plus.
Exposure to medical imaging, OCT, ultrasound, or histopathology, including frameworks such as MONAI or ITK, is a plus.
Experience building internal dashboards, annotation tools, data tooling, or developer infrastructure is a plus.
Experience with AWS, GCP, LambdaLabs or comparable cloud infrastructure is a plus.

Required Skills and Competencies

Strong proficiency in Python and the ability to write clean, maintainable, well-tested code.
Proficiency and experience with C++.
Experience with the Qt framework is a strong plus.
Experience with unit, integration, regression, and automated testing.
Experience with Git-based development, code review, automated build and test workflows, and containerization using Docker.
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 the ability to work effectively across multiple technical disciplines.
Sound judgment in balancing delivery speed, automation, and regulatory controls.

Desired Attributes

Hands-on, proactive, and comfortable taking ownership of software from integration through release.
Motivated by shipping reliable, supportable product components rather than research prototypes.
Instinct to automate repetitive work, paired with the discipline to keep it controlled and reviewable.
Comfortable working alongside AI scientists, systems engineers, and quality and regulatory specialists.
Able to operate in a fast-paced, growing organization.
Interested in AI, medical imaging, and improving outcomes in cancer surgery.

Apply About employer

More about this job

Responsibilities

Build, test, integrate, and maintain software that incorporates validated AI models and data-processing components into regulated medical device products. Develop automated testing and reproducible AI delivery workflows, maintain lifecycle traceability and verification evidence, and collaborate with AI, Systems, and Quality and Regulatory teams to support product releases.

Requirements

A bachelor's degree in a relevant technical field or equivalent practical experience is required, along with at least three years of software engineering experience and three years developing software in a medical device QMS or comparable regulated environment. Candidates should be proficient in Python and experienced with C++, testing, software integration, and regulated development practices; familiarity with medical device standards and ML lifecycle tools is also relevant.

Skills

Python
C++
Qt
Software Integration
Automated Testing
Software Verification And Validation
Requirements Traceability
Medical Device Quality Systems
Machine Learning Pipelines
Docker
Git
Linux
Debugging
Medical Imaging
Risk Management
Cloud Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Python
C++
Qt
Docker
Git
Linux
PyTorch
TensorFlow
MLflow
AWS
GCP
LambdaLabs
MONAI
ITK
IEC 62304
ISO 13485
ISO 14971
Medical Device Software
Quality Management System
Design Controls
Risk Management
Requirements Traceability
Verification And Validation
Automated Testing
Machine Learning Lifecycle
Reproducible Training Pipelines
Model Versioning
Medical Imaging
Optical Coherence Tomography
Data Annotation

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