Inference Engine Optimization Lead

5 days ago


Hong Kong Island, Hong Kong SAR China SenseTime 商汤科技 Full time

We are seeking an Inference Engine Optimization Lead to join our team and help us optimize the inference deployment of large models on computing clusters.

The ideal candidate will have a deep understanding of mainstream large-model algorithms and underlying principles, as well as experience with large-model inference engines and frameworks.

Job Description

The Inference Engine Optimization Lead will be responsible for designing and implementing efficient large-model inference pipelines and developing and maintaining scalable cloud infrastructure for large-model deployment.

This includes:

  • Optimizing the inference deployment of large models on computing clusters, focusing on multi-node, multi-GPU parallel inference, task scheduling, KV cache management, and other techniques to enhance inference performance and reduce costs.
  • Researching the latest advancements in large-model serving and integrating cutting-edge techniques into real-world business applications.

This role requires strong technical skills, including expertise in large-model algorithms, cloud infrastructure, and software engineering.

Requirements

To be successful in this role, you will need:

  • Strong knowledge of large-model inference engines and frameworks.
  • Experience with cloud-based infrastructure and deployment tools.
  • Proficiency in programming languages such as C++ and Python.


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