Systems Research Engineer
Job Vision
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.
Key Responsibilities
· 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, EuroSys 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.
Person Specification
Required Qualifications and Skills:
· 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.
Desired Qualifications and Experience:
· 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, EuroSys 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.
- Department
- CSI – System Infrastructure Research
- Location
- Huawei Edinburgh Research Center
Huawei Edinburgh Research Center
Workplace & culture
This is a place where expertise and passion come together to unlock something really special to create an exciting future. Working at Huawei R&D UK, you will meet dedicated people who are passionate to bring the best product and service to customers.
About Huawei R&D UK
Huawei’s vision is a fully connected, intelligent world.
To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh, Ipswich and Bristol. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies.