GPU Software Architecture Technical Lead

4 weeks ago

Markham, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time
Job Title: Technical VP – GPU Software Architecture

Our team at Huawei Technologies Canada Co., Ltd. is seeking a highly skilled Technical VP to lead our GPU software architecture efforts. As a key member of our team, you will be responsible for driving the development of our graphics rendering infrastructure platform.

Responsibilities:
  • Lead a dynamic team in the exploration of cloud gaming, wireless AR/VR/XR, rendering farm, digital twin, and the metaverse.
  • Stay up-to-date with the latest industry developments in graphics rendering through cutting-edge research, preparing comprehensive reports and proposals.
  • Strategically plan projects and roadmap for the Huawei graphics rendering infrastructure platform.
  • Foster collaboration with teams across Huawei's global research centers, ensuring a cohesive and synergistic approach to innovation.
  • Spearhead academic partnerships with leading universities to drive collaborative research initiatives.
  • Contribute to the academic community by publishing high-quality research papers and obtaining valuable industrial patents.
Requirements:
  • Possess a solid understanding of the graphics rendering pipeline, including rasterization and ray-tracing.
  • Showcase experience in rendering techniques and their optimizations, encompassing real-time ray tracing, PBR, light map, screen space reflection, SSAO, etc.
  • The ability to demonstrate innovative development expertise in GPU virtualization or Clustering Rendering is an asset.
  • Exhibit a passion for building best-in-class products.
  • Showcase excellent C/C++ programming skills.
  • Display outstanding leadership and communication skills.
  • Experience or knowledge in one of the following areas would be an asset:
  • Application or driver development experience on APIs (Vulkan, OpenGL/ES/OpenGL/DirectX).
  • Expertise with game engines such as O3DE, Unity, or others.
  • Proficiency in GPU modeling with performance modeling and analysis, and familiarity with GPU performance analysis tools.
  • Knowledge of neural rendering.
  • Game development experience on Linux/Android.

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