Senior Engineer - Neural Visual Computing

Huawei Canada has an immediate permanent opening for a Senior Engineer.

About the team:

The 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 both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Conduct research and spearhead the development of AI-accelerated neural rendering and neural video compression technologies.
• Evaluate state-of-the-art (SOTA) algorithms and their performance on the Huawei platform.
• Implement optimizations at both low-level software and hardware layers to enhance visual quality and computing speed.
• Collaborate closely with cross-functional teams to provide insights for hardware/software co-design features.

About the ideal candidate：

• Proven experience with Neural Rendering techniques, such as DLSS, NeRF, 3DGS.
• Demonstrated expertise in Neural Video Compression techniques, such as DVC, FVC, DCVC.
• Experience of deep learning based frame interpolation/extrapolation, super-sampling, and denoising (e.g. DLSS)
• Experience with AI assisted ray tracing acceleration. 
• Strong understanding of traditional graphics rendering pipeline, such as rasterization and ray-tracing. 
• Proficiency in traditional video codec (H26x/VPx/AVx).
• Knowledge of graphics API, such as Vulkan, OpenGL-ES/OpenGL.
• Fluent programming skills in C/C++ and Python.
• Knowledge with game engines such as O3DE/Unity/UE is an asset. 
• Experience with Linux/Android is an asset.

#LI-SZ2