Huawei Technologies Canada Co., Ltd.

Huawei Technologies Canada Co., Ltd.

Engineer - KHRONOS Standard

Vancouver, British Columbia, Canada

Sponsorship not specified$121k-$230kDetected 15 days ago
Machine LearningComputer VisionPhotographyAR/VRResearchLeadership

About the role

  • 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.
  • What you'll bring to the team: MSc 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.

Responsibilities

  • 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.
  • 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.

Skills

  • Experienced in machine learning technologies.

Compensation

  • 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.

Company info

  • 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.
  • Good publication record in top journals and conferences.
  • MSc in computer science or related fields with a focus on applied ML to computer graphics or computer vision.
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