Advanced Imaging Engineer

Huawei Finland R&D

Tampere

On-site

EUR 50,000 - 70,000

Full time

14 days+

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Job summary

A leading technology company in Tampere is seeking an Advanced Imaging Research Engineer to develop innovative imaging processing blocks and solutions. The role focuses on SPAD-based imaging systems and involves collaboration with various technology experts. Responsibilities include implementing new algorithms, developing prototypes, and designing cutting-edge algorithms. Candidates should have a strong background in computer vision, machine learning, and image processing, and be proficient in Python. This position is a full-time consultant role.

Qualifications

  • PhD or MSc in computer vision, machine learning, or related fields.
  • Experience with Deep Learning architectures in real-world scenarios.
  • Knowledge of SPAD sensors and data processing.

Responsibilities

  • Implement new algorithms to enhance mobile imaging technologies.
  • Develop prototypes for SPAD-sensor based imaging concepts.
  • Design ISP pipeline algorithms and AI algorithms.

Skills

Deep understanding of camera sensors
Image processing algorithms
AI algorithms
Strong competency in Python
Fluent in English

Education

PhD or MSc aiming towards PhD in relevant fields

Job 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 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 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. 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.

Responsibilities
  • Implement new algorithms to push the boundaries of 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 Huawei; contribute to 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
  • Generate IP, including patents
Qualifications
  • PhD or MSc aiming towards PhD in computer vision, machine learning, signal/image processing, or other relevant fields
  • Deep understanding of camera sensors, image processing algorithms and AI algorithms; knowledge on SPAD sensors and specific data processing
  • Experience with training and evaluation of Deep Learning architectures (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
  • Preference for candidates with accomplishments in 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 learning 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.

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