Lab Director - Data Centre Network

If you are a knowledgeable and passionate engineer looking to be a key driver of DCN innovation over the next decade, this opportunity could be the ideal fit.

A leading ICT solutions provider is searching for a Lab Director to drive their research lab in the Data Centre Network domain. They are well known for their innovation within this domain and are looking for someone to drive pioneering research.

They are looking for someone to provide insights and forward-looking guidance in this domain. You will be responsible for the key research and explore the development direction of DCN services and architecture, key DCN algorithms and protocols, lead the team to complete key technological innovations, and build key technical breakpoints.

Key Responsibilities

1. Plan and research the top-level architecture and key technologies of the next-generation DCNs.
2. Collaborate with surrounding teams to complete the design and implementation of the data centre network.
3. Overall scope includes but is not limited to network topology, traffic control technology, software-defined networks, optical and electrical hybrid networks, in-network computing, etc.
4. Optimize the performance and efficiency of parallel computing systems, especially large-scale AI clusters, mainly from the perspective of the integration of network, computing, and storage systems.

Ideal Background

1. PhD in Computer Science, Electronic Engineering, Automation, Mathematics, Physics, or other related majors.
2. 10+ years of research experience in high-performance network or parallel computing.
3. Industry and academic experience would be an ideal mix.
4. Proficient in DCNs and high-performance interconnection technology systems.
5. Proficient in performance or efficiency optimization of parallel computing systems.
6. Experience in large-scale distributed deep learning and familiarity with corresponding infrastructure and key technologies.
7. Self-motivated, curious and highly ambitious, with good team spirit and cross-cultural communication skills.

More Specifically

1. Have extensive and in-depth research in the field of modern network technology or high-performance interconnection, be proficient in data centre network architecture, be familiar with the RDMA protocol system, have an in-depth understanding of the technology evolution and industry progress of data centre networks, and have relevant research achievements and successful practices.
2. Be proficient in performance or efficiency optimization of parallel computing systems, including parallel computing architecture, parallel programming, parallel algorithms, performance modelling and analysis, etc. Have relevant research achievements and successful practices.
3. Have a business background in distributed deep learning, deeply understand the business requirements of this scenario, be familiar with the infrastructure and key technologies of large-scale training/inference, and have systematic thinking on how to improve the system scale and efficiency.

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