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Gpu Compiler Engineer Jobs in Ontario (NOW HIRING)

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 ...

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Gpu Compiler Engineer information

What is a GPU compiler engineer?

GPU Compiler Engineers are specialized software engineers who design, develop, and optimize compilers that translate high-level programming code into machine code that runs efficiently on Graphics Processing Units (GPUs). Their work enables developers to harness the full power of GPUs for tasks such as graphics rendering, scientific computing, and machine learning. These engineers often work closely with hardware teams to ensure compatibility and performance, and they play a critical role in advancing GPU technology.

What are some common challenges faced by GPU compiler engineers in optimizing code for different hardware architectures?

GPU Compiler Engineers often encounter challenges when adapting and optimizing code for a wide variety of GPU architectures. Each hardware platform may have unique instruction sets, memory hierarchies, and performance characteristics, requiring tailored compiler optimizations. Balancing performance, portability, and correctness is an ongoing challenge, especially when supporting multiple vendors or generations of hardware. Close collaboration with hardware engineers and performance analysts is essential to ensure the compiler produces efficient code that leverages the strengths of each GPU architecture.

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

To thrive as a GPU Compiler Engineer, you need a strong background in computer science, with expertise in compiler design, parallel programming, and GPU architectures, typically supported by a relevant degree. Familiarity with tools and languages such as LLVM, CUDA, OpenCL, and performance profiling systems is essential. Analytical thinking, problem-solving ability, and effective collaboration are crucial soft skills for success in this role. These skills ensure the development of high-performance, reliable compiler solutions that optimize GPU-based applications and support innovation in computing.

What is the difference between Gpu Compiler Engineer vs Gpu Software Engineer?

AspectGpu Compiler EngineerGpu Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler designBachelor's or Master's in Computer Science or related; strong programming skills
Work EnvironmentResearch and development teams focused on compiler optimization and hardware integrationSoftware development teams working on GPU applications, drivers, or SDKs
Industry UsagePrimarily in hardware and compiler companies, GPU manufacturers

The Gpu Compiler Engineer specializes in developing and optimizing compilers for GPU hardware, focusing on translating high-level code into efficient machine instructions. In contrast, the Gpu Software Engineer works on creating GPU-related software, such as drivers, SDKs, or applications. While both roles require strong programming skills and knowledge of GPU architecture, the compiler engineer emphasizes compiler design and optimization, whereas the software engineer focuses on software development and integration.

What are popular job titles related to Gpu Compiler Engineer jobs in Ontario?

For Gpu Compiler Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Gpu Compiler Engineer jobs in Ontario look for?

The top searched job categories for Gpu Compiler Engineer jobs in Ontario are:

What cities in Ontario are hiring for Gpu Compiler Engineer jobs?

Cities in Ontario with the most Gpu Compiler Engineer job openings:

Infographic showing various Gpu Compiler Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

GPU Compiler Engineer

Talentlab

Markham, ON • On-site

Full-time

Posted 2 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.