Research Team Lead - Distributed AI Systems & Large-Scale Infrastructure

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next-generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage, and networking at large scale. We aim to drive innovation and deliver software-defined infrastructure and algorithms for HPC, AI/ML, and Big Data applications.
We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.

What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software.
Architect and own the software infrastructure ena

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Requirements
B.Sc. or higher in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
8+ years of experience in systems software, distributed computing, or AI infrastructure, with 3+ years in a leadership or team lead role.
Deep expertise in large-scale communication systems: collective communication, RDMA, network topology-aware routing, and bandwidth optimization.
Hands-on experience building software infrastructure for distributed training on custom accelerators or heterogeneous hardware (GPU, NPU, TPU).
Strong knowledge of runtime systems: scheduling, execution graphs, kernel dispatch, synchronization primitives, and pipeline management.
Experience with memory management at scale: activation checkpointing, tensor offloading, rematerialization, KV cache management.
Proficiency in C/C++ and Python, with a focus on high-performance, production-quality code in Linux environments.
Proven ability to define technical vision, lead multi-person project