Systems Research Engineer

We are seeking Systems Research Engineers with strong computer systems fundamentals
, excellent implementation skills and the ability to conduct original research. We welcome candidates from a broad range of backgrounds, including operating systems, distributed systems, cloud computing, computer architecture, networking, storage, resource scheduling and machine learning systems.

You will identify important systems research problems, develop novel solutions, build working prototypes and rigorously evaluate their performance and impact. You will work with experienced researchers and architects to produce high-quality research for leading systems conferences, while helping translate successful ideas into practical technologies.

• Distributed Systems Research & Development:
  Identify novel research opportunities and design, implement and evaluate new systems, algorithms and abstractions for scalable computing infrastructure.
• Performance Optimization & Profiling:
  Investigate system bottlenecks and develop innovative techniques to improve performance, scalability, efficiency and resource utilisation.
• Next-Generation Infrastructure:
  Research and prototype solutions for emerging workloads and platforms, including heterogeneous computing, AI training and inference, distributed data processing and cloud-native applications.
• Research & Publications:
  Produce original, rigorous research contributions targeting leading systems conferences, including OSDI, SOSP, NSDI, Euro Sys and SoCC, and relevant venues such as MLSys.
• Research Impact &
  
  Collaboration:
  
  Collaborate with researchers, architects and engineers across Huawei to validate research ideas and translate successful innovations into practical infrastructure technologies.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field.
• Strong foundations in computer systems, including one or more of operating systems, distributed systems, computer architecture, or cloud computing.
• Proficiency in C/C++ or a comparable systems programming language, with Python for research prototyping and experimentation.
• Ability to design, implement and evaluate systems through rigorous experimentation, performance analysis and profiling.
• Strong problem-solving skills, intellectual curiosity and an interest in conducting original systems research.
• Effective communication skills and the ability to collaborate in a multidisciplinary research team.

• PhD in comuter systems, distributed computing, or large-scale AI infrastructure.
• Research publications or demonstrated potential to publish at leading systems conferences, such as OSDI, SOSP, NSDI, Euro Sys and SoCC.
• Experience in one or more areas such as resource scheduling, performance optimisation, heterogeneous computing or machine learning systems.
• Familiarity with AI infrastructure, including model serving, distributed training, accelerator systems or inference optimisation.