Senior Principal Engineer - AI Framework Programming Expression Technology

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

• Responsible for system-level optimization of open-source frameworks in the fields of Large Language Models (LLMs) or reinforcement learning, with a focus on large-scale training and inference.

• Possess deep theoretical knowledge of reinforcement learning or LLM algorithms, and lead the design and implementation of advanced system optimization solutions across the AI software stack.

• Proactively identify and drive systematic innovations in LLMs, reinforcement learning algorithms, and system optimization, continuously enhancing the core competitiveness of AI frameworks.

• Collaborate closely with cross-functional teams, actively foster the growth of the technology ecosystem, and take a leading role in advancing AI framework technologies through personal technical expertise.