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Principal Engineer - Neural Visual ComputingJoin to apply for the Principal Engineer - Neural Visual Computing role at Huawei Canada.About the teamThe Computing Data Application Acceleration Lab aims to create a leading global data analytics platform, organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at storage and runtime layers. It also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. The lab's goal is to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.About the jobLead research and development efforts in AI-accelerated neural rendering and neural video compression technologies.Evaluate state-of-the-art (SOTA) algorithms, assessing their performance within the Huawei platform.Architect and implement optimizations at software and hardware levels to improve visual quality and computing speed.Collaborate with cross-functional teams, providing strategic insights for hardware/software co-design.Job requirementsAbout The Ideal Candidate:Extensive experience in neural rendering techniques such as DLSS, NeRF, 3DGS.Proficiency in Neural Video Compression techniques, including DVC, FVC, and DCVC.Understanding of traditional graphics rendering pipelines like rasterization and ray-tracing.Experience with AI-assisted ray tracing acceleration.Familiarity with video codecs (H26x, VPx, AVx).Proficiency in graphics APIs such as Vulkan, OpenGL-ES/OpenGL.Advanced skills in C/C++ and Python.Knowledge of game engines like O3DE, Unity, UE is a plus.Experience with Linux/Android platforms is an asset.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesTelecommunications #J-18808-Ljbffr
