Camera Image Processing Algorithm Intern

Intuitive • Sunnyvale, CA

5d

About The Position

Primary Function of Position Imaging System Analysts Pipeline team is part of da Vinci robotic surgical system multi-port organization. It is responsible for delivering the surgical robot’s vision sub-system image processing algorithm, vision pipeline design and image quality (IQ) optimization. As a Camera Image Processing Algorithm Intern, you’ll benchmark, develop and optimize new imaging algorithms to enhance vision pipeline perceptual IQ, for real-time surgical decision-making tasks. You’ll develop an understanding of surgical robot vision sub-system design, its imaging challenges and root causes. You will gain hands-on experience in practical image processing algorithm design, implementation and IQ optimization.

Requirements

• Knowledgeable and significant hands-on experience in designing and implementing digital image and video signal processing algorithms.
• Good knowledge about color science, human perception and image quality metrics.
• Solid imaging-related physics knowledge and mathematical modeling foundation.
• Proficient in Matlab, Python and C/C++ algorithm prototyping.
• Good machine learning knowledge and hands-on experience applying deep learning-based methods to image or video processing problems
• University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program after the internship.
• Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.
• Current enrollment in Computer Science, Computer Engineering, Electrical Engineering, Imaging Science or related degree-seeking program at the Master’s, or Doctorate level.

Nice To Haves

• High dynamic range imaging knowledge and experience, especially tone-mapping algorithms.
• Experience with PyTorch (preferred) or similar deep learning frameworks for image enhancement or computer vision applications
• GPU programming experience with CUDA
• Familiar with CMOS image sensor, camera optics, and its signal processing pipeline.

Responsibilities

• Evaluate and benchmark existing imaging processing algorithms and pipeline performance.
• Identify root cause of IQ issues and solution space constraints.
• Design, implement and optimize new algorithms with vision pipeline simulator.
• Algorithm and pipeline calibration, IQ validation lab work and documentation.
• Obtain surgical feedback from clinical development team and iterate into algorithm designs and optimization.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 1-10 employees