ZipRecruiter

Log In

1

Computer Graphics Phd Jobs in Toronto, ON (NOW HIRING)

Amd

CPU Performance Architect

Markham, ON · On-site

The successful candidate will work in AMD's Client and Graphics SOC Performance Team in Markham ... Bachelors, Master's or PhD degree in Electronics/Computer Engineering or Computer Science with ...

Amd

HW/SW Co-Design Engineer

Thornhill, ON · Hybrid

Understanding of Graphics and Compute API's such as CUDA, OpenCL, and Vulkan * Experience in the ... Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer ...

All JobsComputer Graphics Phd JobsComputer Graphics Phd Jobs in Toronto, ON

Computer Graphics Phd information

What are the key skills and qualifications needed to thrive as a Computer Graphics PhD, and why are they important?

To thrive as a Computer Graphics PhD, you need advanced knowledge in computer graphics theory, mathematics, programming, and typically a doctoral degree in computer science or a related field. Expertise in programming languages (such as C++, Python), graphics APIs (like OpenGL or DirectX), and experience with research publication are standard requirements. Creative problem-solving, collaboration, and strong communication skills help distinguish top researchers and innovators in this field. These skills are vital for advancing the state of the art, effectively sharing research findings, and contributing to interdisciplinary projects.

What are some common challenges faced by Computer Graphics PhD researchers when working in multidisciplinary teams?

Computer Graphics PhD researchers often collaborate with experts in fields like engineering, neuroscience, and design, which can present challenges in aligning technical language and expectations. Successfully bridging the gap between theoretical research and practical application requires strong communication skills and adaptability. Additionally, balancing the demands of publishing academic work with project-driven goals can be demanding, but these collaborations often lead to more innovative and impactful outcomes.

What is the difference between Computer Graphics Phd vs Computer Vision Engineer?

AspectComputer Graphics PhdComputer Vision Engineer
Required CredentialsPhD in Computer Graphics, related research experienceBachelor's or Master's in Computer Science, specialized in Computer Vision
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, R&D teams
Industry UsageAnimation, visual effects, simulationImage recognition, autonomous vehicles, surveillance
Common Search/ComparisonYesYes

The main difference between a Computer Graphics Phd and a Computer Vision Engineer lies in their focus areas. Computer Graphics Phds typically engage in research related to visual rendering, animation, and simulation, often within academia or R&D labs. In contrast, Computer Vision Engineers apply algorithms to interpret visual data, working mainly in tech companies on applications like image recognition and autonomous systems. Both roles require strong technical skills, but their industry applications and research focus differ significantly.

What is a Computer Graphics PhD?

A Computer Graphics PhD is an advanced academic degree focused on the study and development of algorithms, systems, and techniques for generating and manipulating visual content using computers. This degree typically involves original research in areas such as rendering, animation, visualization, virtual reality, and human-computer interaction. Graduates often pursue careers in academia, research labs, or industry roles that require deep expertise in computer graphics and related fields.
What are popular job titles related to Computer Graphics Phd jobs in Toronto, ON? For Computer Graphics Phd jobs in Toronto, ON, the most frequently searched job titles are:
Computer Graphics Phd jobs near you
Senior Graphics Shader Compiler Engineer

Senior Graphics Shader Compiler Engineer

Nvidia

Toronto, ON • On-site

Full-time

Posted 22 days ago

Job description

We are looking for an enthusiastic and competent Senior Graphics Shader Compiler Engineer for an exciting and fun role in our GPU Software organization. We deliver features and improvements to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to graphics workloads for AAA game titles on gaming platforms. Our compiler organization makes its mark on every GPU NVIDIA produces. Would you like to add this to your accomplishments?

We need you as a key member of a talented team of compiler engineers that is working on a core compiler component for our graphics drivers as well as for accelerating general purpose computation on the GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

What you'll be doing:

  • Work on design and implementation of significant parts of the compiler.

  • Work on performance analysis and design/implementation of new optimizations.

  • Partner with global compiler, GPU driver, architecture, and application teams to coordinate improvements and problem resolutions.

  • Seek interesting and meaningful compilation problems for state-of-the-art GPU technologies.

  • Contribute to open-source projects (LLVM, DXC - HLSL compiler).

  • Propose, design, and implement SPIR-V extensions, represent NVIDIA in Khronos.

  • Participate and contribute to the future of SPIR-V as a standard graphics interchange format.

What we need to see:

  • BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience.

  • 10+ years of experience and strong background in compilers.

  • You would need strong C/C++ programming skills, as well as a deep understanding of parallel programming models.

  • Experience with compiler optimizations, especially working with LLVM infrastructure.

Ways to stand out from the crowd:

  • Experience developing CUDA, DirectX, OpenGL/Vulkan applications

  • Background with developing compiler optimizations and code generation for GPUs.

  • Ability to do code generation and building a good compiler framework.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 8, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Nvidia logo

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

Year founded

1993

View All Nvidia Jobs

Apply