计算系统研究工程师
Core
Conducting forward-looking research and system development for next-generation computing systems focused on AI applications, including cluster architectures for Agent and low-latency inference, edge AI systems, and physical AI computing systems.
Role type
Senior IC research engineer (computing systems architecture)
Builds
Next-generation AI computing systems, cluster architectures, and system software
Domain
AI computing systems, computer architecture, heterogeneous computing
Deliverable
production ML models
Required skills
C++, Python, computer architecture, distributed computing, memory management, compiler optimization, system-level architecture design, hardware-software co-evolution
Preferred skills
GPU/NPU platform optimization, heterogeneous computing, accelerator design, major research project experience
Technologies
C++, Python, GPU, NPU, compilers, runtime systems
Responsibilities
Design and implement cluster system architectures for Agent and low-latency inference applications; research and validate hardware-level implementations including cluster networking and hierarchical memory pools; develop software integration solutions for resource pool management and runtime optimization; track and explore frontier technologies in international academic and industry communities; publish high-level research results and secure core patents.
