Senior Researcher - GPU Applications Architecture

About the role

Huawei Canada’s Computing Data Application Acceleration Lab is seeking a Senior Researcher to lead the design and development of next‑generation GPU architectures for emerging AI and rendering workloads. The role focuses on full‑stack innovations, from hardware co‑design to large‑scale cluster solutions, supporting applications such as physical AI, 3DGS, autonomous driving, and cloud rendering.

Key responsibilities

• Analyze trends and requirements for GPU computing in physical AI, 3DGS, unmanned driving, embodied AI, and related domains.
• Design and plan an environmental simulation and rendering platform built on a self‑developed GPU architecture.
• Define hardware, system, and software architectures for GPU clusters and implement large‑scale intelligent solutions.
• Support development and simulation of emerging applications, ensuring industry‑leading performance in environmental simulation and rendering.
• Drive continuous technological advantage in space intelligence and expand the self‑developed GPU ecosystem.

Required profile

• Deep knowledge of emerging AI and GPU applications (physical AI, embodied AI, 3DGS, World Models) with experience in large‑scale simulation projects.
• Familiarity with AI‑enhanced rendering technologies such as DLSS and neural rendering, and experience with Unreal Engine or Unity.
• Strong background in AI chip architecture, computer architecture, operating systems, and distributed training frameworks.
• Proven ability to design system architectures and lead complex hardware‑software co‑design efforts.

Required skills

• GPU programming languages: CUDA, OpenCL, Vulkan.
• GPU performance profiling and tuning tools.
• Experience with Unreal Engine and Unity rendering engines.
• Knowledge of DLSS, neural rendering techniques.
• Expertise in GPU architecture design and AI chip architecture.
• Familiarity with distributed training frameworks.