ZipRecruiter

Log In

1

Gpu Performance Engineer Jobs in Toronto, ON (NOW HIRING)

Talentlab

GPU Compiler Engineer

Markham, ON · On-site

GPU Compilers, Graphics, Performance Optimization TalentLab is recruiting GPU Compiler Engineers at multiple levels to join a team developing the software and compiler technology behind next ...

New

Waabi

Senior / Staff Graphics Software Engineer

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

You have a deep understanding of GPU performance, and you know how to use instrumentation and ... engineering fundamentals. You write efficient and maintainable code in systems languages such as C ...

Amd

Principal Engineer, Physical AI

Thornhill, ON · Hybrid

... Engineer who is passionate about simulation and training foundations for Physical AI. You will be a ... GPU performance-analysis skills and experience optimizing workloads for simulation and RL training ...

Quantiphi, Inc.

Senior Platform Engineer

Toronto, ON · On-site

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on ... Perform GPU profiling, benchmarking, and performance optimization for distributed training ...

Boson AI

Site Reliability Engineer

Toronto, ON · On-site +1

CA$125K - CA$250K/yr

... performance networks, GPU clusters, storage, scheduling, and the operational tooling that keeps ... engineering standards Minimum Qualifications * 4+ years of experience in site reliability ...

next page

Showing results 1-20

All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Toronto, ON

Gpu Performance Engineer information

What is a GPU performance engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What are some common challenges faced by a GPU performance engineer when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a GPU performance engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Toronto, ON?

For Gpu Performance Engineer jobs in Toronto, ON, the most frequently searched job titles are:

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

GPU Compiler Engineer

Talentlab

Markham, ON • On-site

Full-time

Posted 3 days ago

New

Job description

GPU Compiler Engineer – Multiple Levels

Location: Canada or United States
Focus: GPU Compilers, Graphics, Performance Optimization

TalentLab is recruiting GPU Compiler Engineers at multiple levels to join a team developing the software and compiler technology behind next-generation GPU platforms.

This is a highly technical role at the intersection of compiler development, GPU architecture and graphics systems. You'll work closely with GPU hardware, driver and software teams to develop and optimize compiler technology, improve GPU performance and power efficiency, and help bring new GPU architectures from development through production.

We're open to engineers at several career levels, from strong early-career compiler developers through senior technical leaders.

What You'll Work On
  • Design, develop and optimize compiler technology for modern GPU architectures.
  • Develop compiler software supporting new GPU features and hardware capabilities.
  • Analyze and optimize GPU performance, power and efficiency.
  • Work closely with GPU architecture, hardware, driver and software teams.
  • Develop functional models, simulations and software used to verify GPU functionality and correctness.
  • Create and run graphics workloads and tests to evaluate functionality, performance and power.
  • Investigate complex compiler, driver and GPU interactions and identify opportunities for optimization.
  • Contribute to the architecture and implementation of future GPU capabilities.
  • Produce technical documentation and detailed feature specifications.
  • At senior levels, provide technical direction and influence architecture and implementation decisions across teams.
What We're Looking For
  • Bachelor's, Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related discipline.
  • Professional experience in compiler development or closely related low-level systems software.
  • Strong programming skills, particularly C/C++.
  • Understanding of compiler architecture, optimization and code generation.
  • Experience working close to hardware and debugging complex software/hardware interactions.
  • Strong analytical and performance optimization skills.
Particularly Relevant Experience

We're especially interested in candidates with experience in one or more of the following:

  • GPU compiler development.
  • LLVM or similar compiler infrastructure.
  • Compiler backends, code generation or optimization.
  • GPU architecture and microarchitecture.
  • Graphics or compute drivers.
  • GPU performance analysis and optimization.
  • Shader compilers or graphics pipelines.
  • Parallel computing and highly parallel architectures.
  • Low-level systems programming.
  • Graphics APIs or compute environments.

For more senior positions, we're interested in engineers with deep compiler and/or GPU expertise who can provide technical leadership, influence architecture and work effectively with senior engineering leadership.

Multiple levels are available, and scope will be matched to the experience and technical depth of the successful candidate.
How to Apply?
All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.