Huawei Canada has an immediate permanent opening for a Khronos Standard Expert Lead.

About the Team

Established in 2012, the Central Media Technology Institute (CMTI) is Huawei's center for media technology innovation and engineering, enhancing the technical competitiveness of media products. Sitting within CMTI, the Graphics Technology Lab focuses on research and breakthroughs in photography, audio, video, computer graphics, XR, and codec standards to maintain the company's leadership in media technology. Our R&D team comprises skilled CG algorithm experts, researchers, software architects, and standards specialists dedicated to building core capabilities for an improved graphics experience.

Responsibilities

Lead the graphics standard team and business vision to define, design and develop enhancements target to future oriented graphics APIs and advance the feature sets of such APIs.

Propose enhancements to graphics APIs which could improve the runtime performance of applications relying on GPU on Huawei devices.

You will work with Huawei teams engaging with graphics API standards.

You will also interface and collaborate with various product teams at Huawei to come up with innovative, clean and maintainable solutions.

The total compensation for this position ranges from $121,000 to $230,000, depending on education, experience and demonstrated expertise.

Requirements

What you’ll bring to the team

Master’s degree in Computer Science/Engineering, or equivalent.

Deep understanding of graphics APIs (Vulkan, OpenGL, webGL, webGPU)

Proven ability to propose and develop enhancements to a graphics API specification while considering the impact on the larger ecosystem (production, delivery, runtime)

3 years of experience in KHRONOS/W3C standard activities including Vulkan, OpenGL, OpenGL|ES, SPIR-V, glTF, webGL, webGPU etc

Deep understanding and experience in computer graphics

Technical team leadership experience with ability to lead Huawei’s vision and the graphics standard team

Awareness of new SOTA technologies such as neural rendering, 3D Gaussian Splatting and their influence on Standard.

Experienced in parallel/distributed computing technologies.

Experienced in machine learning technologies.

Good publication record in top journals and conferences.

Excellent communication and presentation skills.

Additional Information

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.