Computing Network & System Architecture Group Leader

In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.

Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and lead

דרישות:

Requirements:
At least 10 years of hands-on experience in system architecture design, or equivalent research experience.
Demonstrated experience in leading R&D team.
Familiarity with high-performance computing cluster services and system architectures, such as AI, HPC and big data.
In-depth understanding of computer networks, communication libraries, and design of AI or HPC cluster networks

Key qualifications you hold include:
Ability to work in a team environment; actively seek out resolution to issues with the team and work co-operatively to build a coherent system; Team-working and excellent inter-personal communication skills.
High level of self-reliance and an autonomous target-oriented work style, can do attitude, eager to learn new things and ready to think outside the box
Ability to work on a schedule, even for un-schedule-able issues such as inventiveness.
Experience with network system of AI, HPC or big data cluster.
Demonstrated capability in several items from the list be