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Added 20 hours ago
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Ingénieur(e) ou analyste, analyse d’opérabilité / Engineer or Analyst, Operability Analysis
RTX
Longueuil, QC
- Full-time
Added 20 hours ago
ZT
Advanced Data Platform Engineer
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
The Advanced Data Platform Engineer focuses on building infrastructure for working with data. In this role, you will plan computerized databases, including base definition, structure,…
Added 20 hours ago
Protection & Controls Engineer
Hubbell Incorporated
Edmonton, AB
Advanced proficiency with Microsoft Office applications, with the ability to use them effectively for technical documentation, analysis, and project communication.
Added 20 hours ago
AP
Senior Corrugated Reliability Engineer
Atlantic Packaging Products Ltd.
Hamilton, ON
- Full-time
The Senior Corrugated Reliability Engineer with a Six Sigma certification combines machine uptime, root-cause failure analysis, and data-driven process control to eliminate defects and…
Added 21 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Create and optimize data integration workflows between multiple source and target systems.
Added 21 hours ago
MT
Principal Analog Mixed-Signal Design Engineer - Optical
Marvell Technology
Ottawa, ON · Toronto, ON · CA-ON - Ottawa
- Full-time
Marvell is seeking an RF and Analog Design Engineer to contribute to the development of multi-tens of GHz transimpedance amplifiers (TIAs). These optical interface chips are tightly coupled…
Added 21 hours ago
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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 21 hours ago
IT
Engineering Manager
Infinity Testing Solutions Inc.
Mississauga, ON
- $120,000 to $140,000 CAD / year
- Full-time
We are looking for an Engineering Manager who combines mechanical engineering judgment, advanced LabVIEW development and controls knowledge with the ability to coach engineers and…
Added 22 hours ago
II
Lead Data Engineer
Ipsos in Canada
Vancouver, BC
- $130,000 to $140,000 CAD / year
- Full-time
Design and optimize data warehouses and distributed data systems for scalability, security, reliability, performance, and cost efficiency.
Added 22 hours ago
II
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
5+ years of professional experience as a data engineer
Added 22 hours ago
Machine Learning Engineer
Scotiabank
Toronto, ON
Oversee integration and movement of data across multiple source systems and cloud-based environments.
Added 22 hours ago
Software Engineer
Scotiabank
Toronto, ON
Oversee integration and movement of data across multiple source systems and cloud-based environments.
Added 22 hours ago
KG
RPA Platform Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking a Senior RPA Platform Engineer to architect, maintain, and scale our enterprise automation ecosystem across hybrid environments, including on-premises architecture, AWS…
Added 22 hours ago
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Staff Engineer - Backend & Architecture
MapsPeople
Toronto, ON
- Full-time
…connected environments. As we scale, we're looking for a Staff Engineer to help shape the technical direction of our…
Added 23 hours ago
PI
Head of Marketing and Brand
Pack-Smart Inc.
Concord, ON
- $100,000 to $120,000 CAD / year
- Full-time
If you want to work on advanced automation systems, solve meaningful engineering challenges, and build machines for some of the world’s biggest brands - we want to hear from you.
Added 23 hours ago
MH
HVDC Design Engineer (Electrical/Computer Engineer)
Manitoba Hydro
Winnipeg, MB
- Full-time
Advanced knowledge of control, protection and auxiliary systems for synchronous condensers. Experience with synchronous motors, generators, generator controls, or similar electrical plant…
Added 23 hours ago
A
Intermediate Cost Analyst
AtkinsRéalis
Mississauga, ON
- Full-time
…technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 23 hours ago
SS
Machine Learning Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…learning, semiconductor technologies, automotive solutions, and advanced engineering…
Added 23 hours ago
SS
Senior Validation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking an experienced Senior Agentic AI – Validation & Automation Engineer to join our engineering team in Markham, Ontario.
Added 1 day ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 1 day ago
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AI Trainer: Mechanical Engineers CAD
Brunel
Remote, Canada
- $40 to $125 USD / hour
- Full-time
- Remote
…to the development of high-quality, technically accurate AI…
Added 1 day ago
SS
Senior DevOps
Safe Software
Remote, Canada
- Full-time
- Remote
Safe Software is looking for Senior DevOps to join our DevOps team. As a Senior DevOps engineer, you will lead the design and implementation of scalable CI/CD pipelines, develop and…
Added 1 day ago
Certification Engineer Co-op
Moment Energy
Surrey, BC
…put them to work by repurposing large-format batteries into advanced battery energy storage systems that deliver real-world…
Added 1 day ago
A
Lead Scheduling Engineer (Relocation to Saudi Arabia is required.)
aramco
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
We are seeking a Scheduling Engineer to join Project Control Division of Producing Project Management Department (PPMD) under Producing.
Added 1 day ago
J
Power Systems Engineer II
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Power Systems Engineer II based in Canada.

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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