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Technical VP – GPU Applications Architecture
5 months ago
Our team has an immediate permanentopening for aTechnical VP. Responsibilities:
- 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.
What you’ll bring to the team：
- 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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