Principal Engineer - Neural Visual Computing

Huawei Canadahas an immediate permanentopening for an Principal 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 :

Lead the research and development efforts inAI accelerated neural rendering and neural video compression technologies.

Drive the evaluationof state-of-the-art (SOTA) algorithms, assessing their performance within theHuawei platform.

Architect and implement optimizations atboth low-level software and hardware layers to enhance visual quality and computing speed.

Foster deep collaboration with cross-functional teams, providing strategic insights for hardware / software co-design features.

About the ideal candidate：

Extensive experience and expertisein neural rendering techniques, such as DLSS, NeRF, 3DGS.

Demonstrated proficiency in Neural Video Compression techniques, including DVC, FVC, and DCVC.

A thorough understanding of traditional graphics rendering pipeline, such as rasterization and ray-tracing.

Experience with AI assisted ray tracing acceleration.

Strong familiarity withtraditional video codec (H26x / VPx / AVx).

Proficient ingraphics API, such as Vulkan, OpenGL-ES / OpenGL.

Advanced programming skills in C / C++ and Python.

Knowledge of game engines such as O3DE / Unity / UE is an asset.

Experience with Linux / Android platforms is an asset.

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