Research Scientist in 6G Edge Heterogeneous Computing | Experienced Professionals

Responsibilities

Research new computing architectures, system software, and key technologies for the deep integration of AI and wireless communications. Contribute to AI EDGE system architecture design and the development of technical solutions.

Develop technologies for compute resource management, system software, operating mechanisms, and hardware–software co-optimization on heterogeneous platforms such as CPUs, GPUs, and NPUs. Implement technical prototypes and validate their performance.

Track cutting-edge developments in AI EDGE, heterogeneous computing and edge intelligence. Conduct related research and innovation, producing papers, patents, standards contributions, and other outputs.

A master's degree or above in computer science, communications engineering, electronic information engineering, artificial intelligence, software engineering, or a related field; a PhD is preferred. At least 5 years of R&D experience in AI systems, heterogeneous computing, edge computing, communication systems or related system software. Requirements may be relaxed for exceptional candidates.

A deep understanding of heterogeneous CPU, GPU, and NPU architectures, familiarity with computing, storage, and high-speed interconnect technologies, and experience in computing-platform performance analysis and optimization.
Familiarity with AI computing and inference systems, with experience in development, deployment, or optimization involving PyTorch, TensorRT, ONNX Runtime, or other AI computing or acceleration frameworks.
Proficiency in at least one systems programming language, such as C, C++, or Go, and familiarity with Linux systems programming, multithreading and concurrency, memory management, and system performance analysis.
Experience developing systems or software for compute resource management, task scheduling, runtime systems, or computing platforms, with strong skills in system architecture design and engineering implementation.

Commitment to research integrity and the principles of scientific inquiry.
Strong independent R&D and complex problem-solving skills, with the ability to independently design system architectures, develop software, debug systems, analyze performance, and resolve issues through to closure.
Knowledge of wireless communication systems and basic RAN architecture, with an understanding of the computing performance, real-time operation, and reliability requirements of these systems.
Strong teamwork and cross-functional communication skills, with the ability to manage parallel tasks and work under pressure.
Strong technical writing and oral communication skills in Chinese and English.
A self-driven approach and enthusiasm for exploring cutting-edge technologies.

R&D experience in AI EDGE, heterogeneous compute resource management, scheduling, or runtime systems.
Experience in GPU/NPU resource sharing, virtualization, resource isolation, or the adaptation and optimization of heterogeneous computing platforms.
Familiarity with cloud-native computing platforms such as Kubernetes and KubeEdge.
Experience adapting or optimizing domestically developed CPU, GPU, or NPU acceleration platforms, or developing system software for these platforms.
Papers, patents, standards contributions, or contributions to open-source projects in AI systems, heterogeneous computing, wireless communications, or related fields.
R&D experience in research projects funded by national, provincial, or municipal governments.

Please send your CV to sani_hiring@sani.ac.cn. Use the following subject line, replacing “Your Name” with your name:

Experienced Professionals — Research Scientist in 6G Edge Heterogeneous Computing — Your Name