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

Kirin platform is the groundbreaking SOC that powers Huawei mobile phone and other devices. In order to provide the best-possible experience for our customers, we’re looking for world class experts in Graphics AI research.

As an AI researcher contractor with the Kirin team, you will invent, implement, and deploy state of the art robust graphics AI algorithms and systems targeted to enhancing existing Game Graphics solutions. You will be working on projects that builds on cross-domain topics: AI, Computer Vision and Graphics. You will build prototypes and explore conceptually new solutions. You will interact closely with both AI and Computer Graphics teams. A successful candidate should have hands-on experience in at least one AI research domain most preferably neural rendering, differentiable rendering and inverse rendering. You will be developing high-quality performant AI based game graphic systems targeted for mobile devices.

Job Purpose:

1. Be responsible for researching neural rendering solutions targeted for real-time mobile game rendering.
2. Integrate AI algorithms targeted for enhancing Computer Graphics pipeline both in efficiency and quality.

Key Responsibilities:

1. Researching, Designing and developing complete AI based Graphics algorithms for mobile phone games including AAA games.
2. Tackling technical challenges and reshaping AI research solution to become product compatible solution.
3. Identify new AI technologies and plan for future projects and product solutions.
4. Contribute to project requirements and understand AI product deployment tradeoffs.
5. Establishing and creating datasets that meet product deployment scenarios.
6. Develop evaluation metrics to assess our computer vision and graphic algorithm solution robustness under different deployment scenarios.
7. Analyse and improve efficiency and performance of solutions for either cloud or on-device deployment.
8. Documenting and reporting progress to your team/senior management and to cross-location/functional teams.
9. Collaborate with cross-functional/location managers, researchers and engineers.

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.

Required:

• Master/PhD degree in Machine Learning/Computer science/computer vision or related technical domain.
• 4+ years of industry experience working on projects in: computer vision, 3D reconstruction, deep learning, machine learning, graphics.
• Expertise in AI, Machine Learning and Deep Learning
• Experience developing systems for manipulating image/video and multi-modality content.
• Experience in collecting, cleaning and creating datasets for AI model development.
• Minimum 5+ years’ experience in at least one of the deep learning frameworks (e.g., Tensorflow, Caffe2, Pytorch, MxNet, Torch, etc.).
• Record of publications in top-tier conferences: CVPR, ECCV/ICCV, SIGGRAPH, BMVC, NeurIPS, ICML, ICLR.

Desired:

• Experience in Cloud or on-device AI model deployment.
• Have experience of shipping computer vision or 3D Reconstruction and Modelling experience into commercial products and play a key role in these product deployment.
• Experience in Generative AI is preferred.
• Have knowledge of Semi-supervised Learning, Unsupervised Learning, Transfer Learning, Long Life Learning is preferred.
• Interpersonal experience: cross-group and cross-culture collaboration
• Experience with CPU/GPU/NPU optimization.
• Good written and spoken English.