Researcher/Research Full-time&Internship Program(AI, CS, Chipset, Math, Physics)

Going forward, Huawei aims to capitalize on the unique strengths of Hong Kong, bring together high-end talents worldwide, and tap into quality resources from local universities to create a world-class research hub for technology innovation.

As a Researcher candidate, you should:

✔ Be a PhD/postdoctoral student majoring in computer science, engineering, statistics, mathematics and other related disciplines with a strong interest in theoretical/machine learning/AI research, or an excellent MPhil student with equivalent research experience;

✔ Have a solid track record in research, a strong interest in mathematics or algorithm research, relevant papers published (such as ACM) at high-level international conferences and on academic journals, or experience of high-level competitions;

✔ Have a good understanding of computer system architecture, super-scalar and out-of-order execution, memory management and operating systems.

✔ Have a solid programming skills in C++ and Python. Proficiency in SystemC and pandas, and knowledge in AArch64 assembly are a plus.

✔ Have a good understanding of the working principle of various semiconductor devices and wafer fabrication process knowledge

✔ Have innovative thinking and the ability to apply new ideas to engineering scenarios; and

✔ Be passionate about research with a good teamwork spirit and communication skills.

✔ Good command of written and spoken English

✔ Good team player with strong communication skills

HKRC research areas include but are not limited to:

✔ Deep learning, meta-learning, automatic machine learning, reinforcement learning, and Bayesian learning;

✔ Natural language processing, speech recognition, speech synthesis, machine translation, dialogue and question answering system, pre-trained language model, multi-model learning, and knowledge graph;

✔ Causal structure learning algorithm, and causal theory;

✔ Optimization of multi-factory joint machining plans, and development of large-scale linear programming solvers (CPLEX, Gurobi, SCIP, and CLP);

✔ Machine learning, data mining and AI theory and technology, including network traffic prediction, intelligent network management and control, and resource allocation optimization, transforming research ideas into enterprise solutions;

✔ Visualization of deep learning process (including training data, model training process and feature reasoning), text classification and clustering, language translation, and knowledge graph construction; and;

✔ Optimal transport theory, nonlinear dynamic systems, optimal control, and graphs theories, graph computing, linear algebra, matrix analysis, random matrix, compressed sensing, signal processing, information theory, communication principles, optimization theory, operations research, calculus theory, nonlinear and AI network science and other basic theoretical research;

✔ Collaborate closely with architects, design engineers, and solution engineers to evaluate performance characteristics of various microarchitecture designs;

✔ Work on coverage definition, implementation, and analysis;

✔ Interact with architect, software teams, and ASIC product development teams to define the micro-architecture of the processor/AI core, including memory hierarchy and various interconnects;

✔ Guide physical design engineers to complete layout floorplan and physical design; 

✔ Guide test engineers to complete chip-level ESD/Latch-up and system-level ESD/Surge test evaluation plans.

As a successful candidate, you will be provided with

✔ Opportunities to work on a wide range of challenging projects and exposure to cutting-edge technologies;

✔ Mentorship by world-class tech experts, which will be both exciting and conducive to your future career path;

✔ Competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements.