Canada
Cardata
Huawei Technologies Canada Co., Ltd.
Engineer - KHRONOS Standard
Canada
Burnaby, British Columbia, Canada
About the opportunity
Huawei Canada has an immediate 12-month contract opening for an Engineer - KHRONOS Standard.
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.
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.
About the Job
- Understanding of graphics APIs (Vulkan, OpenGL, OpenGL|ES, webGL, webGPU, etc.)
- Proven ability to propose and develop enhancements to a graphics API specification while considering the impact on the larger ecosystem (production, delivery, and runtime.
- Experience with computer graphics (rendering, geometry processing, etc.) / GPU computing technologies
The total compensation for this position ranges from $121,000 to $230,000, depending on education, experience and demonstrated expertise.
Minimum requirements
About the ideal candidate
- Bachelor or Master in computer science or related fields with a focus on applied ML to computer graphics or computer vision.
- Experience in KHRONOS/W3C standard activities, including Vulkan, OpenGL, OpenGL|ES, SPIR-V, glTF, webGL, webGPU etc
- Experienced in parallel/distributed computing technologies.
- Experienced in machine learning technologies.
- Good publication record in top journals and conferences.
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