🚀 Research And Development Engineer

R&D Engineer - Camera Algorithm / Computer Vision | Cambridge | Telecommunications

In this role, you will develop, optimize, and deploy advanced imaging algorithms for camera systems, contributing to high-performance, real-world applications. You will collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to design solutions that push the boundaries of camera technology and image quality.

Key Responsibilities:

• Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment.
• Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection.
• Collaborate with hardware and software teams to integrate algorithms into camera systems and embedded platforms.
• Conduct testing and validation of algorithms across multiple devices and imaging conditions.
• Develop tools and pipelines for automated image quality evaluation and performance monitoring.

Required Skills & Experience:

• Proven experience in camera algorithms, image processing, or computer vision.
• Strong programming skills in Python, C++, and MATLAB.
• Experience with machine learning / deep learning frameworks such as PyTorch or TensorFlow.
• Knowledge of imaging sensors, optics, and camera systems.
• Hands-on experience with image quality assessment, segmentation, or calibration algorithms.

Preferred Qualifications:

• MSc or PhD in Computer Science, Electrical Engineering, Applied Physics, or a related field.
• Experience with HDR imaging, stereo imaging, or multispectral cameras.
• Familiarity with Git, CI/CD, and experiment tracking tools.

Apply Directly or Reach Out: