Find work in Canada.

596,707 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 16 hours ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of one of CTC's strategic customer intelligence platforms. The platform combines machine learning,…
Added 17 hours ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 17 hours ago
C
Senior Digital ASIC Verification Engineer
Ciena
Ottawa, ON
- $111,900 to $178,700 CAD / year
- Full-time
We are looking for an experienced Senior Digital ASIC Verification Engineer to join our top-level team. You will play a key role in verifying complex, highly integrated digital ASICs, with…
Added 17 hours ago
H
Data Engineer
Hays
Montreal, QC
- Contract
We are seeking a Python / PySpark Data Engineer with 3–5 years of experience to develop and enhance a strategic Client Data Confidentiality and data-usage monitoring platform. The role will…
Added 17 hours ago
HN
Device Platform Engineer - Vancouver, BC (Onsite) - FTE/perm
Harvey Nash
Vancouver, BC
- $120,000 to $140,000 CAD / year
- Full-time
Job Title: Software Development Engineer – Device Platform Engineer
Added 17 hours ago
SS
GPU & AI Optimization Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking a Machine Learning Software Engineer – GPU & AI Optimization to join our growing engineering team in Markham, Ontario.
Added 17 hours ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern…
Added 18 hours ago
P
Senior L3 AI Engineer
PeoplePilot
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
# Senior L3 AI Engineer – Enterprise AI Platforms
Added 18 hours ago
B
Data Platform Engineer
BRP
Montreal, QC
- Full-time
As a Data Platform Engineer working in the Data Solutions group, you will play a key role in extending the capabilities, and improving the efficiency of our data platform. You will…
Added 18 hours ago
Q
Forward Deployed Engineer
Quadric
Canada
- Full-time
Strong C++ and Python; has written performance-critical code for a constrained target (DSP, NPU, GPU, or embedded SoC).
Added 18 hours ago
L
Senior Software Engineer
LTM
ON · Ontario, Canada
- $100,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloudnative applications The ideal candidate should be…
Added 18 hours ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 19 hours ago
VP
System Integration Project Manager
Vista Projects
Calgary, AB
- Full-time
This is not a traditional project administration role. The right candidate thinks like an engineer, manages like a delivery lead, and is energized by applying AI tools to real industrial…
Added 19 hours ago
BO
IT & Systems Manager (AI-First)
Bells of Steel
Calgary, AB
- Full-time
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 19 hours ago
AT
Surgical AI Scientist
Adoc Talent Management
Remote, Canada
- Full-time
- Remote
Conversion de prototypes Python en pipelines d’inférence à faible latence
Added 19 hours ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
Added 19 hours ago
VP
System Integration Project Manager
Vista Projects Limited
Calgary, AB
- Full-time
This is not a traditional project administration role. The right candidate thinks like an engineer, manages like a delivery lead, and is energized by applying AI tools to real industrial…
Added 20 hours ago
RT
Generative AI Engineer (Python and Angular)
Rang Technologies Inc
Mississauga, ON
- Full-time
We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloud native applications The ideal candidate should be…
Added 20 hours ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 20 hours ago
CS
Instructor, AI and Machine Learning with Python (Ottawa)
Circuit Stream
Ottawa, ON
- $1,650 CAD / week
- Contract
We’re looking for a software engineer, data analyst, AI practitioner, educator, or Masters/PhD student who can make artificial intelligence, machine learning approachable for teenagers and…
Added 20 hours ago
TI
Machine Learning Engineer - Senior
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for " Machine Learning Engineer - Senior”
Added 20 hours ago
ES
Artificial Intelligence Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
Databricks Certified Generative AI Engineer Associate
Added 20 hours ago
T
Data Science Developer - Senior/Senior Data Scientist / ML Engineer
ThoughtStorm
Toronto, ON
- Contract
Advanced proficiency in Python and SQL for data analysis, model development, and processing real-world datasets.
Added 20 hours ago
VT
Hardware Test Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
Company growth has resulted in a new opportunity for a Hardware Test Engineer to advance Richmond’s engineering operations. With a focus on hands-on testing, electrical validation, and…
Added 21 hours ago
Wireless Communications Engineer | LoRa, LTE & Satellite
Ranchflow
Halifax, NS
Familiarity with Python or tools for automated network testing.

Sapphire Stream Technology

GPU & AI Optimization 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 4, 2026
Posting language: English
Posted: Nov 4, 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 workloads, including kernel fusion, execution parameters, and memory layouts, to improve performance and power efficiency. Use AI-assisted workflows and profiling tools, support development across pre- and post-silicon environments, and collaborate with software, hardware, runtime, and machine learning teams.

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 have experience developing, debugging, and testing complex software.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

Report this job