IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 4,684
Employers: 2,034

Advertised starting pay

Average starting payCAD / year: $96,380Across 414 listings
Average starting payCAD / hour: $50.10Across 312 listings
Average starting payUSD / year: $120,437Across 60 listings
Average starting payUSD / hour: $48.16Across 19 listings

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

Where work happens

Remote: 4%188 listings
Hybrid: 38%1,791 listings
On-site: 57%2,691 listings

Not specified: <1% (14 listings)

Employers hiring include TD (81), S M Software Solutions Inc (64), J&M Group (50).

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

IT & data jobs in Canada

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Added 1 day ago
CT
Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
We're Hiring | Senior Data Engineer / Data Architect
Added 1 day ago
H
Data Engineer
Hays
Montreal, QC
- Contract
Our client is a leading global financial services organization seeking a Python / PySpark Data Engineer to join a strategic data engineering team supporting client data confidentiality and…
Added 1 day ago
NR
Analyste fonctionnel SAP
Norton Rose Fulbright
Montreal, QC
- Full-time
Added 1 day ago
NR
Analyste fonctionnel SAP
Norton Rose Fulbright
Toronto, ON
- Full-time
Added 1 day ago
T
Azure Data Engineer
TechDoQuest
Toronto, ON
- Contract
Strong hands-on experience with Azure Data Factory (ADF), Azure Databricks, Python, PySpark, SQL, and Azure cloud services.
Added 1 day ago
TI
Technical Project Manager – Microsoft Fabric
Tekgence Inc
Brampton, ON
- Contract
10+ years in IT delivery, including 5+ years as a Technical PM on data or cloud platform programs
Added 1 day ago
Y
Technical Project Manager – Microsoft Fabric
Yochana
Brampton, ON
- Contract
10+ Years in IT delivery, including 5+ Years as a Technical PM on data or cloud platform programs
Added 1 day ago
SA
Business Systems Analyst
Southern Alberta Institute of Technology (SAIT)
Calgary, AB · Greater Calgary Metropolitan Area
- Temporary
Added 1 day ago
T
Technical Project Manager
TechDoQuest
Brampton, ON
- Contract
10+ years in IT delivery, including 5+ years as a Technical PM on data or cloud platform programs
Added 1 day ago
C
Senior Business Systems Analyst
Cogniify
Vancouver, BC · Greater Vancouver, BC
- Full-time
Added 1 day ago
MB
IT Support Analyst - Contract
Martin Brower
New Westminster, BC
- Contract
Added 1 day ago
CM
IT Support Specialist
CASA Mental Health
AB
- $30.05 to $37.23 CAD / hour
- Full-time
Added 1 day ago
IF
Senior Data Analyst - Operational Performance Analytics
Intact FC
Montreal, QC
- Full-time
Added 1 day ago
EC
PLM Data Analyst
Experis Canada
Mirabel, QC
- Contract
Advanced data analysis and data quality management skills.
Added 1 day ago
AI
Business Systems Analyst – Salesforce
American Iron & Metal (AIM)
Montreal, QC
- Full-time
Added 1 day ago
Azure Cloud Architect - Manager
EY
Edmonton, AB · AB · Vancouver, BC · Victoria, BC · Winnipeg, MB · Dieppe, NB · Saint John, NB · St. John's, NL · Halifax, NS · London, ON · Ottawa, ON · Toronto, ON · ON · Saskatoon, SK · Calgary, AB · Waterloo, ON
Added 1 day ago
UH
Technical Specialist, Techna (Data Engineer)
University Health Network
Toronto, ON
- Full-time
Added 1 day ago
GT
Business Systems Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Added 1 day ago
BT
Senior Network Administrator
BULL TECHNICAL SERVICES LIMITED
Calgary, AB
- Full-time
Added 1 day ago
AI Engineer (Data Scientist)
Hydro One Networks Inc
Toronto, ON
Added 1 day ago
TI
Business System Analyst
TekStaff IT Solutions
Toronto, ON
- Contract
Will the contractor have access to any customer data? – No
Added 1 day ago
RC
Cyber Security Analyst
Realtek Consulting LLC
Calgary, AB
- Contract
Added 1 day ago
JH
Senior Software Development Manager
JMC HR Consulting
Markham, ON
- Full-time
Added 1 day ago
RD
Business Systems Analyst (Web Applications)
Randstad Digital
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Added 1 day ago
BC
Junior Industrial Control Systems (ICS) Cybersecurity Specialist
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time

Sapphire Stream Technology

Machine Learning Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

About Sapphire Stream Technology

Sapphire Stream Technology (SST) is a technology and engineering solutions company specializing in software development, AI and machine learning, semiconductor technologies, automotive solutions, and advanced engineering services.

We collaborate with leading global technology companies to deliver innovative engineering solutions and support the development of next-generation products.

As we continue to expand our presence in North America, we are looking for talented engineers who are passionate about emerging technologies, solving complex technical challenges, and contributing to advanced AI and computing solutions.

Position Overview

SST is seeking a Machine Learning Software Engineer – GPU & AI Optimization to join our growing engineering team in Markham, Ontario.

The successful candidate will work on advanced machine learning software development, GPU computing, and performance optimization for next-generation computing platforms.

This role involves developing and optimizing machine learning kernels, leveraging agentic AI workflows to improve engineering productivity, and collaborating with cross-functional engineering teams to enhance software performance, computational efficiency, and power optimization.

We are looking for an enthusiastic, technically strong individual who enjoys working on complex engineering challenges and exploring innovative approaches to AI and GPU software development.

Key Responsibilities

Develop, implement, and optimize machine learning software, GPU kernels, and computational workloads for advanced computing platforms.
Leverage agentic AI tools and workflows to accelerate software development, testing, debugging, and optimization.
Support software and workload development across pre-silicon and post-silicon development environments.
Design and maintain efficient machine learning kernels, kernel fusion techniques, and performance optimization solutions.
Develop clean, maintainable, and testable C++ and Python code, including microbenchmarks and automated regression tests.
Optimize GPU execution parameters, including tile sizes, block configurations, and memory layouts, to improve latency, throughput, and power efficiency.
Support runtime integration, deployment, and performance tuning across machine learning inference frameworks and computing platforms.
Analyze GPU performance using profiling tools and performance metrics to identify bottlenecks and optimization opportunities.
Collaborate with software, hardware, runtime, and machine learning engineering teams to improve system-level efficiency.
Participate in technical design discussions, code reviews, debugging, and continuous improvement initiatives.
Contribute to the development of innovative engineering solutions for emerging AI and high-performance computing applications.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, Computer Systems, or a related technical discipline.
Strong programming proficiency in C++ and Python.
Solid understanding of software engineering principles, algorithms, data structures, and performance optimization.
Knowledge of machine learning concepts, numerical computing, and linear algebra.
Experience developing, debugging, and testing complex software applications.
Strong analytical and problem-solving abilities.
Excellent communication, collaboration, and teamwork skills.
Ability to work effectively in a fast-paced, collaborative engineering environment.

Preferred Qualifications

Practical experience using agentic AI workflows, AI coding assistants, or AI-driven development tools to improve engineering efficiency.
Experience with GPU computing or parallel programming technologies such as CUDA, HIP, or OpenCL.
Familiarity with GPU graphics programming technologies such as DirectX or Vulkan.
Experience developing and optimizing machine learning kernels and GPU-accelerated workloads.
Understanding of machine learning architectures, including Transformers, U-Nets, and Convolutional Neural Networks (CNNs).
Familiarity with pre-silicon software development or hardware emulation platforms such as FPGA, ZeBu, or Veloce.
Experience with performance profiling tools and GPU performance metrics, including occupancy, memory bandwidth, FLOPs, and roofline analysis.
Knowledge of kernel fusion, memory optimization, parallel execution, and high-performance computing.
Experience with machine learning inference frameworks, runtime integration, or production software deployment.
Exposure to hardware-software co-optimization and power-efficient computing.

Why Join SST?

Work on advanced AI, machine learning, and GPU computing technologies.
Contribute to challenging engineering projects involving next-generation computing platforms.
Collaborate with experienced engineering professionals and global technology teams.
Gain exposure to emerging technologies in semiconductor engineering and high-performance computing.
Be part of SST's growing North American engineering organization.

Work Location

Markham, Ontario, Canada – Onsite

This position requires working onsite and collaborating closely with engineering teams.

Equal Opportunity Employer

Sapphire Stream Technology is committed to providing an inclusive and respectful workplace. Employment decisions are based on qualifications, experience, and business requirements, in accordance with applicable employment and human rights legislation.

Apply About employer

More about this job

Responsibilities

Develop and optimize machine learning software, GPU kernels, and computational workloads, including kernel fusion, execution tuning, and performance analysis. Use agentic AI workflows and collaborate with software, hardware, runtime, and machine learning teams to improve performance, efficiency, and power optimization across pre-silicon and post-silicon environments.

Requirements

A bachelor's or master's degree in computer science, computer engineering, software engineering, computer systems, or a related discipline is required, along with strong C++ and Python skills. Candidates should understand software engineering, algorithms, data structures, machine learning, numerical computing, and linear algebra, and bring strong analytical, problem-solving, communication, and teamwork abilities.

Skills

C++
Python
Machine Learning
GPU Computing
GPU Kernel Optimization
CUDA
HIP
OpenCL
Parallel Programming
Performance Profiling
Kernel Fusion
Linear Algebra
Machine Learning Inference
AI Coding Assistants
DirectX
Vulkan

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
GPU Computing
C++
Python
CUDA
HIP
OpenCL
DirectX
Vulkan
Agentic AI Workflows
AI Coding Assistants
GPU Kernels
Kernel Fusion
Performance Optimization
Performance Profiling
Pre-Silicon Development
Post-Silicon Development
FPGA
ZeBu
Veloce
Transformers
U-Nets
Convolutional Neural Networks
Machine Learning Inference
Runtime Integration
Memory Bandwidth
Occupancy
Roofline Analysis
High-Performance Computing
Hardware-Software Co-Optimization

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