At a Glance
- Tasks: Join our team to conduct cutting-edge research in computer systems and AI infrastructure.
- Company: Huawei is a global leader in ICT, driving innovation for a fully connected world.
- Benefits: Enjoy 33 days annual leave, flexible working, private medical insurance, and corporate discounts.
- Why this job: Be part of a pioneering team shaping the future of data centre infrastructure with real-world impact.
- Qualifications: Bachelor's or Master's in Computer Science; PhD preferred; strong programming skills required.
- Other info: Ideal for recent graduates seeking industrial research experience in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
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 centers 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 plays a key role in shaping the future of Huawei’s data centre infrastructure. Uniquely positioned at the intersection of advanced research and practical engineering, our team translates cutting-edge innovations into real-world solutions.
We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.
Key Responsibilities:
- Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
- Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
- Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
- Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
- Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.
Person Specification:
List details of Knowledge, Skills, Experience and Qualifications needed to do the job:
Required:
- Bachelor\’s or Master\’s degree in Computer Science or a related technical field.
- Be comfortable with research methodology.
- 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++.
- 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 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
- Corporate retail discounts
- Flexible working
- Additional time off for learning and development
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. #J-18808-Ljbffr
Research Scientist - Contractor employer: Huawei Technologies Research & Development (UK) Ltd
Contact Detail:
Huawei Technologies Research & Development (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist - Contractor
✨Tip Number 1
Familiarise yourself with Huawei's core values and mission. Understanding their commitment to innovation and customer-centric approach will help you align your discussions during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Engage with the latest research in computer systems and AI infrastructure. Being well-versed in current trends and breakthroughs will not only enhance your knowledge but also demonstrate your passion for the field during conversations with the hiring team.
✨Tip Number 3
Network with professionals in the industry, especially those who have experience at Huawei or similar companies. Attend relevant conferences or webinars to make connections and gain insights that could give you an edge in your application process.
✨Tip Number 4
Prepare to discuss your previous research experiences in detail. Be ready to explain your methodologies, findings, and how they relate to the responsibilities of the Research Scientist role, particularly in rapid prototyping and performance optimisation.
We think you need these skills to ace Research Scientist - Contractor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computer systems, AI infrastructure, and any research you've conducted. Emphasise your programming skills, particularly in languages like C/C++, and any publications you may have.
Craft a Strong Cover Letter: In your cover letter, express your passion for research and innovation. Mention specific projects or experiences that align with Huawei's mission and the responsibilities of the Research Scientist role. Show how your background makes you a perfect fit for their team.
Highlight Research Methodology: Since the role requires comfort with research methodology, be sure to discuss your approach to research in your application. Include examples of how you've applied these methods in past projects or studies.
Showcase Communication Skills: Given the importance of stakeholder engagement in this role, highlight your communication skills. Provide examples of how you've effectively presented research findings or collaborated with teams in previous roles or academic settings.
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Understand the Company’s Vision
Before your interview, make sure you’re familiar with Huawei's mission to create a fully connected, intelligent world. This will help you align your answers with their goals and demonstrate your enthusiasm for their vision.
✨Showcase Your Research Skills
Be prepared to discuss your previous research experiences in detail, especially if they relate to operating systems, distributed systems, or machine learning. Highlight any publications or projects that showcase your ability to conduct cutting-edge research.
✨Prepare for Technical Questions
Expect technical questions related to computer systems and AI infrastructure. Brush up on your programming skills, particularly in C/C++, and be ready to solve problems or discuss optimisation techniques during the interview.
✨Communicate Clearly
Effective communication is key, especially when discussing complex topics. Practice explaining your research and technical concepts in a clear and engaging manner, as this will be crucial when presenting to stakeholders.