Principal Engineer - Neural Visual Computing
Full Time
|
Markham, Ontario
|
Huawei
Huawei Canada has an immediate permanent opening 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 in AI accelerated neural rendering and neural video compression technologies.
Drive the evaluation of state-of-the-art (SOTA) algorithms, assessing their performance within the Huawei platform.
Architect and implement optimizations at both 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.
Job requirements
About The Ideal Candidate：
Extensive experience and expertise in 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 with traditional video codec (H26x/VPx/AVx).
Proficient in graphics 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.