Heterogeneous Computing Research Engineer

1 day ago


Beijing, Beijing, China Tencent Full time
Job Summary

We are seeking a highly skilled Heterogeneous Computing Research Engineer to join our team at Tencent. As a key member of our Ad Model Platform, you will be responsible for designing and optimizing heterogeneous computing architectures for large-scale models, improving service performance, and reducing business costs.

Key Responsibilities
  • Design and optimize heterogeneous computing architectures for large-scale models, including sparse and dense models, to improve service performance and reduce business costs.
  • Develop and optimize GPU operators and computation graphs for ad-related businesses, supporting business iteration and upgrade.
  • Stay up-to-date with the latest industry trends and technologies in heterogeneous hardware, continuously improving and expanding our heterogeneous inference acceleration framework.
Requirements
  • Proficiency in Linux development environments, with strong system programming, data structure, and algorithm foundations, and experience with C++ language development.
  • Familiarity with common backend service performance optimization techniques and experience with service memory, CPU, and other aspects of optimization.
  • Familiarity with CUDA and other heterogeneous hardware development technologies, with experience in performance optimization or TensorRT, tensorRT-LLM, and other related technologies.
  • Proficiency in at least one mainstream deep learning tool, such as TensorFlow or PyTorch, with experience in deep model algorithms.
  • Passion for achieving extreme high performance, with excellent analytical and problem-solving skills, and strong teamwork and communication abilities.


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