Mobile Camera Imaging AI Research Engineer at Huawei Technologies Co. Ltd - Qatar

Tampere, Pirkanmaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer vision, Machine learning, Deep learning, Python, Pytorch, Tensorflow, Vision transformers, Diffusion models, Image processing, Video processing, Computational photography, NPU optimization, ONNX, Generative AI, Signal processing, 3D-vision

Industry

Telecommunications

Description

As a Mobile Camera Imaging AI Research Engineer, you will dig deep into research, development, implementing and optimization of AI based solutions for full pipeline transferring camera sensor captured photons into beautiful images and video. You will master the application of deep learning models, including vision-language, generative, and color mapping approaches, to address complex challenges in Huawei smartphone camera systems. In this role, you will leverage large-scale models to develop state-of-the-art AI algorithms for a diverse range of image and video restoration tasks, including but not limited to super-resolution, deblurring, video interpolation, video understanding and motion manipulation. Beyond research, you will be responsible for making these solutions production-worthy by implementing rigorous performance optimizations to ensure low-latency, high-efficiency deployment in real-world environments. This role involves working closely with multiple discipline colleagues within the team and camera technology innovation laboratory, including imaging algorithms, AI, camera sensor HW, and color and spectral experts. This will include learning from and working with world class leading competence on mobile imaging sensors, spectral sensing and emerging novel photon capturing solutions. You will also share your gathered competence, practical experience and knowledge on embedding AI based solutions into mobile camera image processing platforms. You will develop related image and video processing algorithms, help define problems, agree on clear performance metrics, and deliver solutions that perform reliably on real-world data. Job Descriptions: Research and develop AI models for computational photography, image/video enhancement, color processing, ISP pipeline algorithms, spanning architectures such as vision-language models, diffusion image/video transformer models, etc. Adopt emerging AI breakthroughs into high-impact innovations for mobile imaging Implement research ideas in Pytorch or Tensorflow and continue with NPU compatible model optimization to enable a rapid integration into Huawei devices Architect roadmaps and lead the execution of complex integration projects to enhance the on-device vision pipeline Identify data requirements, guide collection and annotation efforts, and build high-quality synthetic data creation pipeline that enables reliable model training Identify model failure cases and develop targeted solutions to improve performance in critical real-world scenarios Partner with other algorithm and hardware imaging teams to define key problems and deliver effective embedded AI solutions for joint HW+SW architectures Qualifications and detailed requirements: PhD or MSc in the field of computer vision, machine learning, signal/image processing, or associated discipline, with years-long track record of developing AI solutions for mobile imaging platforms and products Deep understanding of the theory behind the machine learning, deep learning methods and imaging technologies. Proven ability to build, train, fine-tune and assess deep learning models for vision tasks such generative AI, image/video restoration, 3D-vision and multimodal learning etc. Proficient in state-of-the-art architectures including Vision Transformers (ViT), Diffusion Transformers (DiT), and Latent Diffusion Models (LDM) for advanced image and video manipulation. Experienced in the adaptation and distillation of billion-parameter models, successfully deploying them to solve complex real-world challenges such as multi-frame super-resolution, video deblurring, interpolation, stabilization and reference-based restoration. Strong competency in Python and deep learning libraries like Pytorch and Tensorflow and experience in ONNX and NPU-compatible model optimization is a plus Familiar with mobile camera imaging and image/video processing algorithms and AI solutions Ability to navigate and innovate in rapidly evolving technical landscapes with ambitious and often ambiguous goals. Big advantage for contestants from international competitions in computer science, mathematics, or physics (e.g. IOI, IMO, ICPC, IPhO, IChO) Other Relevant Skills: Fluent in English, both written and spoken Good communication skills for brainstorming new ideas with a team, mentoring other team members on own core competence area, and reporting research results clearly Able to work effectively with multi-cultural and multi-site teams, performing both collaborative team work and independent key delivery tasks, while adapting to changing requirements and constraints to ensure successful delivery Excellent ability to learn and address existing and emerging mobile imaging related challenges and solutions Outstanding problem-solving skills Contract Type: This is a full-time permanent employee position. Why Join Us? Innovative Work: You’ll be working with the cutting-edge technology and creating innovative imaging solutions in hardware, Image processing, computer vision, color, and imaging system performance. Strong R&D and Collaboration: We have strong R&D capabilities and own multiple high-end testing devices. We are actively collaborating with universities and research institutions. Diverse Perks and Benefits: You'll enjoy access to extensive occupational healthcare, employee perks including culture & sports and phone benefits, team-building events and celebrations, employee recognition through awards and gifts, and daily office breakfasts and snacks. Growth Opportunities: We have accomplished PhDs and researchers, creating an environment where you can collaborate, exchange ideas, and learn from each other while advancing your professional skills and career. Multicultural Team Environment: We are a team of multinational background, creating a unique working environment for developing imaging technologies. About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We seek and reward talent! At Huawei, if you are dedicated to creativity, engagement of technical risks and delivery of target-driven results, your efforts will be rewarded with outstanding career prospects. About Huawei Finland R&D Huawei Finland Research Center was established in 2012. At our site in Tampere, you will have an outstanding opportunity to be part of the leading research and development of future smart devices. We offer a career in a forward-looking industrial research team with a solid track record in innovation and publication and delivering its result as factual contributions to on-the-market devices. This position is based in Tampere and will sit with our Handset Camera Innovation Team, which has solid track record in both innovation and publication. We have delivered significant contribution to current market devices. Camera devices designed by us are used by hundreds of millions of customers worldwide. Huawei offers opportunities to learn from the best in the mobile industry. Our work environment is international and the opportunity to develop your skills and competences is endless.

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Responsibilities

Research and develop advanced AI models for mobile computational photography, including image and video enhancement and restoration. Implement and optimize these models for low-latency, high-efficiency deployment on Huawei mobile devices.