Job Summary:

Oivi is seeking an Image Processing Engineer who is passionate about advancing image quality and improving image signal processing workflows. The role requires a strong theoretical foundation combined with practical engineering experience, particularly in imaging pipelines, fundus imaging, optics, and sensor technologies. The ideal candidate will contribute to developing cutting-edge image processing solutions for medical diagnostics.

Key Responsibilities:

• Design, develop, and optimize image processing algorithms to enhance fundus image quality.

• Analyze and improve image signal processing pipelines for performance and innovation.

• Apply fundus imaging knowledge to ensure clinical relevance and ophthalmic standards.

• Collaborate with optics and sensor teams to integrate hardware insights into algorithms.

• Research emerging trends in optics, sensors, and medical imaging for next-generation advancements.

• Validate and benchmark image processing modules for robustness and real-world performance.

Qualifications:

• Strong foundation in image signal processing theory (denoising, color correction, HDR, reconstruction, etc.).

• 2–5 years of experience in image processing solutions or related roles.

• Hands-on experience with image processing libraries (OpenCV, MATLAB) and ML frameworks.

• Proficiency in C/C++, Python, or MATLAB for algorithm development.

• Deep understanding of optics and sensor technologies, including camera pipelines and ISP design.

• Familiarity with fundus imaging techniques and ability to translate theory into practice.

• Strong analytical and problem-solving ability.

Preferred Skills:

• Experience with AI-driven image enhancement and ML models for medical imaging.

• Knowledge of real-time embedded systems, GPU/FPGA acceleration.

• Background in ophthalmic or medical imaging projects.

• Strong communication skills with ability to work across hardware, clinical, and research teams.

Why Join Us:

• Opportunity to work on cutting-edge medical imaging technology.

• Play a key role in improving diagnostic imaging quality and impact.

• Collaborative, innovative work environment.

• Competitive salary, benefits, and continuous learning opportunities.