Technical VP – GPU Applications Architecture

Huawei Canada has an immediate permanent opening for a Technical VP.

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:

• Plan, design and implement an efficient GPU computing framework to support AIGC, Cloud Rending and emerging application.
• Research and develop new GPU computing technology to improve AIGC application efficiency.
• Optimizes GPU computing performance to improve GPU utilization and computing power.
• Work with team members to design and implement high-quality code and documentation.
• Keep track of the latest GPU technologies and trends to stay ahead of the curve.

Requirements

About the ideal candidate：

• Proficient in GPU architecture and programming models, with a command of GPU programming languages and APIs including CUDA, OpenCL, and Vulkan.
• Adept at GPU performance analysis and optimization, capable of constructing and utilizing tools for thorough analysis and performance enhancement.
• Well-versed in deep learning frameworks such as TensorFlow, PyTorch, and Caffe, with the ability to leverage GPUs for accelerated deep learning training and inference.
• Knowledgeable about computer architecture and operating systems, demonstrating an understanding of CPU and GPU working principles and the ability to conduct system-level optimization.
• Strong teamwork and communication skills, enabling effective collaboration with fellow team members to successfully execute projects.

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