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Internship Gpu Programming Jobs in Toronto, ON (NOW HIRING)

Hands-on hardware verification experience (at-least one tapeout, internship or co-op) * Proficient ... Excellent programming skills * Familiarity with Makefiles, scripting languages like perl, python ...

Internship Gpu Programming information

What is an internship in GPU programming?

An Internship in GPU Programming is a temporary position, often held by students or recent graduates, where individuals gain hands-on experience working with Graphics Processing Units (GPUs) to develop, optimize, and accelerate software applications. Interns typically work on projects involving parallel computing, machine learning, graphics rendering, or scientific simulations using programming languages such as CUDA or OpenCL. These internships provide an opportunity to learn from experienced engineers, contribute to real-world projects, and develop specialized skills that are valuable in technology and research industries.

What types of projects or tasks can an intern expect to work on in a GPU programming internship?

As a GPU programming intern, you can expect to work on tasks such as optimizing existing code for GPU acceleration, developing parallel algorithms using CUDA or OpenCL, and assisting in the profiling and debugging of GPU applications. Interns often collaborate with researchers and software engineers to implement new features or improve the performance of computational workflows. You may also contribute to documentation and testing, gaining exposure to real-world applications in fields like machine learning, scientific computing, or graphics rendering.

What are the key skills and qualifications needed to thrive as an internship in GPU programming, and why are they important?

To thrive as an Internship GPU Programming, you need a solid background in computer science, mathematics, and programming languages such as C++ and Python, often supported by coursework or personal projects in parallel computing. Familiarity with GPU programming frameworks like CUDA or OpenCL and version control systems (e.g., Git) is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate with teams and troubleshoot complex issues. These skills and qualities are essential for efficiently developing, optimizing, and debugging GPU-accelerated applications in a fast-paced, technical environment.

What are popular job titles related to Internship Gpu Programming jobs in Toronto, ON?

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Infographic showing various Internship Gpu Programming job openings in Toronto, ON as of June 2026, with employment types broken down into 2% Internship, 4% As Needed, 43% Full Time, 46% Part Time, 4% Temporary, and 1% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution.

Senior ASIC Verification Engineer, Coherent High Speed Interconnect

Nvidia

Toronto, ON • Hybrid

Full-time

Re-posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are now looking for a Senior ASIC Verification Engineer for our Coherent High Speed Interconnect team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research.

Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from meaningful amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life. As a ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/

What you'll be doing:

  • In this position, you will be responsible for verification of high-speed coherent interconnect design, architecture and golden models.

  • You will be responsible for micro-architecture using sophisticated verification methodologies.

  • As a member of our verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), complete test/coverage plans, and verify the correctness of the design. This role will collaborate with architects, designers, emulation, and silicon verification teams to accomplish your tasks.

What we need to see:

  • Bachelors or Master's Degree (or equivalent experience)

  • 3+ years of relevant verification experience.

  • Experience in architecting test bench environments for unit level verification.

  • Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies.

  • Prior Design or Verification experience of Coherent high-speed interconnects.

  • Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI will be useful.

  • Strong background developing TB's from scratch using SV and UVM methodology is desired.

  • C++ programming language experience, scripting ability and an expertise in System Verilog.

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).

  • Strong debugging and analytical skills.

  • Experienced communication and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 125,000 CAD - 175,000 CAD for Level 3, and 155,000 CAD - 205,000 CAD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.


What Nvidia employees say

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Benefits

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Workplace

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US