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UT
U-Accelerate : Développeur(euse) de logiciels, nouveau(elle) diplômé(e) // U-Accelerate: Software Developer, New Grad
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Développement graphique sous la direction de Charles Sanglimsuwan, où vous apprenez le rendu et l’optimisation de la performance en C++ et en C# aux côtés des personnes qui le conçoivent.…
Added 1 min ago
OP
Junior Quality Engineer
Ontario Power Generation
Oshawa, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Junior Quality Engineer.
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System Mechanical Engineer
CRWS - Canadian Railway Services
Montreal, QC
- Full-time
As a System Mechanical Engineer, you will support the definition, integration, validation, and lifecycle support of mechanical and onboard systems for passenger and freight rolling stock…
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Electrical & Instrumentation Engineer
Tenova
Mississauga, ON
- Full-time
The Electrical & Instrumentation (E&I) Engineer is responsible for the design, review, implementation, commissioning, troubleshooting, and continuous improvement of electrical,…
Added 1 min ago
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Intel Server Support
PlanIT Search
Regina, SK
- $50 to $60 CAD / hour
- Contract
We are seeking a skilled and motivated Client Server Support Engineer to join our IT infrastructure Support team. The ideal candidate will be responsible for configuring, managing,…
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Analog Validation & Characterization Engineer
HaiLa
Ottawa, ON
- Full-time
We are looking for an experienced Analog Validation & Characterization Engineer to lead the electrical validation, characterization, and production test development for our analog, RF, and…
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Guidewire Developer
ValueMomentum
Toronto, ON
- Contract
…the perfect fit for you. We are looking for a Senior Software Engineer who has good experience in the configuration and integration of Guidewire Billing Center to join our team. In this…
Added 1 min ago
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Engineering Manager
Infinity Testing Solutions Inc.
Mississauga, ON
- $120,000 to $140,000 CAD / year
- Full-time
…clear priorities, practical delegation, regular feedback and performance reviews. Help people develop the skills to meet…
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Structural Mechanical Engineer
CRWS - Canadian Railway Services
Montreal, QC
- Full-time
As a Structural Mechanical Engineer, you will contribute to the design, analysis, validation, and optimization of structural and mechanical components for passenger and freight rail…
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Senior Databricks Data Platform Engineer
Galent
Montreal, QC
- Contract
Job Title: Senior Databricks Data Platform Engineer
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Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
BMO offers a total compensation package that may include performance-based incentives, discretionary bonuses, and other rewards, depending on the position and pay type. Benefits include…
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UT
Sr Python Engineer #26-21269
US Tech Solutions
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python…
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Full Stack .NET Developer (Software Developer III)
TekWissen ®
Vaughan, ON
- $65 to $70 CAD / hour
- Contract
Design solutions with a strong focus on scalability, reliability, maintainability, performance, and security.
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R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
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Technical Program Manager
HCLTech
Vancouver, BC
- $115,000 to $120,000 CAD / year
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API, integration, and performance testing concepts
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GenAI Engineer (local to Quebec only)
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Montreal, QC
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Added 16 mins ago
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Engineering Manager Mechanical Engineering, Port Elgin
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Port Elgin, ON
- Full-time
…equipment and/or system vendors, to ensure system designs meet performance, safety, and regulatory requirements, and that the resulting designs are constructable, operable, and…
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Software Engineer (Ottawa On-site)
TechInsights
Ottawa, ON
- Full-time
High-growth company driven by high performance
Added 16 mins ago
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Lead Data Engineer
Ipsos in Canada
Vancouver, BC
- $130,000 to $140,000 CAD / year
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Design and optimize data warehouses and distributed data systems for scalability, security, reliability, performance, and cost efficiency.
Added 16 mins ago
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React Native - Mobile Full-Stack Developer.
Zoho
Toronto, ON
- Contract
As a Senior Full Stack Software Engineer in our US Retirement technology organization, you will design, build, and ship high-quality mobile and backend solutions that serve our Retirement…
Added 16 mins ago
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Voice/ Video IP Performance Test Engineer
Themesoft Inc.
Vancouver, BC
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Looking for test engineer with exp in functional & performance testing and automation of embedded devices. This role is part of SQA team responsible for leading the design, implementation,…
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RPA Platform Engineer
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The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
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Sr. Electrical Engineer
Xanadu
Toronto, ON
- Full-time
As part of the Hardware Team, you will work with our established team of physicists and engineers to develop high-performance custom electronic boards for photonic quantum computers. In the…
Added 16 mins ago
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Senior Databricks Data Platform Engineer
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Montreal, QC
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Added 31 mins ago
Machine Learning Engineer
Scotiabank
Toronto, ON
Establish clear objectives and performance expectations aligned to business and technology priorities.

Sapphire Stream Technology

Machine Learning Engineer

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

Full-time

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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.

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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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