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Advanced Imaging Engineer

huaweifinlandrnd
Companyhuaweifinlandrnd
CategoryEngineering
Location
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted15 Apr 2026
Last verified10 Aug 2026
SourceEmployer ATS (teamtailor)
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Description
As an Advanced Imaging Research Engineer, you will research and develop imaging processing blocks and solutions for full pipeline transferring camera sensor captured photons into beautiful color images and video. Your main focus is in SPAD based imaging systems but not only limited to that. Your contribution is going to be across new and advanced imaging systems from data preparation and system level design to full imaging pipeline design including traditional algorithms and AI algorithms. 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 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: Implement new algorithms to push the boundaries of the mobile imaging technologies Develop prototypes and demonstrate SPAD-sensor based imaging concepts Design and develop cutting-edge ISP pipeline algorithms and AI algorithms for video and imaging processing Identify potential collaborations with other research units inside and outside of Huawei. Possibility to contribute to the publications in external collaboration projects Stay on top of the latest algorithms and SPAD based imaging technology by proactively exploring the latest and greatest in the field Generating IP, including patents Qualifications and detailed requirements: PhD or MSc aiming towards PhD in computer vision, machine learning, signal/image processing, or other relevant fields Deep understanding on camera sensors, image processing algorithms and AI algorithms. Knowledge on SPAD sensors and SPAD specific data processing Experience with training and evaluation of Deep Learning architectures (based on CNNs, transformers, SNNs etc.) in critical real-world scenarios Familiarity with Computer Vision tasks such as Denoising, Super-resolution, interpolation, image to image translation, etc. Knowledge and interest in mobile camera development and photography in general Strong competency in Python 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 to brainstorm new ideas with a team and to report research findings and results clearly Curious and persistent mindset for tackling tough problems and learn fast practical mobile imaging related challenges and existing solutions Energetic and a team player Contract Type : This is a full-time consultant position, the consultant shall be employed by Huawei's supplier. 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 occupational healthcare, culture and sports 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 multinat