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Added 6 mins ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 6 mins ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 6 mins ago
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Digital Sales Engineer / Market Development Manager-Automation-Flygt
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Montreal, QC
- Full-time
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Added 6 mins ago
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Network Engineer (35135)
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- Full-time
We are looking for an experienced Network Service Engineer with strong expertise in customer network service configuration to support the design, implementation, and optimization of network…
Added 6 mins ago
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Senior ASIC Verification Engineer (35885)
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- Full-time
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Added 6 mins ago
MC
Staff Embedded Software Firmware Engineer (35836)
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Principal Embedded Software Firmware Engineer (35837)
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Ottawa, ON · Kanata, ON
- Full-time
The candidate will have Coherent Optical Systems Engineer to contribute to the design, development, characterization, and optimization of advanced coherent optical transceivers based on…
Added 6 mins ago
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Intern Bachelors Embedded Eng
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Ottawa, ON · Kanata, ON
- Full-time
The successful candidate will join the Honeywell Aerospace SATCOM Software Development Team as an Embedded Engineer Intern. In this role, the primary responsibility will be to develop…
Added 6 mins ago
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Intern Bachelors Systems Eng
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- Full-time
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Added 7 mins ago
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Intermediate Commissioning Engineer/Technologist
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Added 21 mins ago
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Added 21 mins ago
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Added 36 mins ago
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Software Engineer Internship - Winter 2027
DataVisor
Remote, Canada
- $40,000 to $50,000 CAD / year
- Full-time
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Added 37 mins ago
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Added 37 mins ago
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Staff Security Engineer - Calix Cloud
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Added 37 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Sapphire Stream Technology

GPU & AI Optimization Engineer

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

Full-time

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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.

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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

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