System Infrastructure Research Engineer

About Huawei Research and Development UK Limited

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.

For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.

This strategic focus is a reflection of our core values:

• staying customer-centric,
• inspiring dedication,
• persevering,
• Growing by reflection

Huawei Research and Development UK Limited Overview

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 centres in Cambridge, London, Edinburgh and Ipswich. 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. We invite you to join us on this exciting journey and drive your career forward.

 Job Summary

The Systems Infrastructure Research (SIR) lab in Edinburgh is dedicated to shaping the future of Huawei’s data centre infrastructure. Our mission is to innovate, prototype, and assess new ideas, designs, and technologies, ultimately integrating them into Huawei’s data centres for the benefit of both internal operations and external users, such as cloud services. We are particularly interested in the intersection of machine learning and systems research - systems designed for large-scale machine learning workloads, and the application of machine learning to improve system performance.

Our team's distinct position enables us to bridge the gap between cutting-edge research and practical engineering environments, facilitating the translation of the latest breakthroughs into production. Additionally, we actively disseminate our findings by publishing in top-tier conferences, including those focused on machine learning and systems.

Huawei seeks both recent graduates and experienced engineers in computer science and systems, machine learning, or the intersection of both. If your expertise aligns with either systems engineering, encompassing operating systems, heterogeneous hardware, distributed systems, and cloud-native applications, or machine learning, including time series analysis, optimization, and systems for machine learning, we encourage you to reach out.

As an engineer in the SIR Lab, you will collaborate with leading scientists, tackle cutting-edge research problems in systems and machine learning, foster influence in academia and industry through technological innovations, and cultivate partnerships with local and global research teams.

Key Responsibilities:

•   Contribute to the research and development team's exploration of emerging technologies and systems, with a focus on machine learning and its applications.
• Engage in team projects to conduct system design, analysis, and prototype development, incorporating machine learning where relevant.
• Play a role in selecting research problems, designing solutions, analysing results, and building prototypes to showcase the advantages and challenges of these technologies across various data center and cloud applications.
• Design, implement, and evaluate key technologies and associated algorithms, including those related to time series analysis, optimization, and machine learning systems.
• Actively engage with academia, industry, and open-source communities to establish influence and contribute to the broader technological landscape.

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Person Specification:

Required:

• Bachelors or Master's degree in Computer Science, Machine Learning, or a related technical field.
• Be comfortable with research methodology.
• Be comfortable with system design and implementation, particularly for machine learning workloads.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one language, such as C/C++, Go, Python etc.
• Good communication and teamwork skills.

Desired:

• PhD in operating systems, distributed systems, machine learning, or a related field.
• Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
• Experience with systems for machine learning, machine learning for systems, time series analysis, and optimization.
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.

What we offer 

• 33 days annual leave entitlement per year (including UK public holidays)
• Group Personal Pension
• Life insurance
• Private medical insurance
• Medical expense claim scheme
• Employee Assistance Program
• Cycle to work scheme
• Company sports club and social events
• Additional time off for learning and development