Senior Engineer - Digital Imaging

Responsibilities:

• Design, build, and optimize imaging algorithms for image segmentation, classification, and enhancement (e. g., tissue specimen analysis on glass slides and whole slide images).
• Apply a strong understanding of color spaces (RGB, HSV, LAB, etc. ) to improve image processing pipelines.
• Collaborate with the image quality evaluation team to continuously improve WSI scan quality across diverse specimen types.
• Develop and maintain end-to-end algorithm models for imaging parameters and acquisition sequences, enabling intelligent, content-aware imaging routines.
• Partner with platform and software engineers to co-optimize algorithms and production software implementations.
• Mentor and guide junior engineers in image processing and analytics best practices.

Requirements:

• Bachelor's degree in computer science, information science, or a related field with emphasis on image or signal processing.
• Proven hands-on experience delivering at least one full R& D cycle, transitioning image acquisition and processing pipelines into production platforms.
• Strong knowledge of image processing algorithms, color spaces, and image quality challenges.
• Solid foundation in mathematics, including probability, algebra, and calculus.
• Excellent programming skills in C/C++ and Python; hands-on experience with machine learning libraries is essential.
• Understanding of sensor and camera component interactions within imaging systems.
• Strong background in image processing, optics, or signal processing.
• Demonstrated innovation through patents, publications, or impactful research contributions.
• Hands-on experience with deep learning frameworks and neural network architectures.
• Experience with compute engines and tools for graphics, computer vision, and ML/AI workloads.
• Solid understanding of statistical modeling, probability theory, and stochastic methods.