Vision Imaging Engineer Intern

Job Description

Primary Function of Position

The vision systems analyst group is a part of the core technology engineering group at Intuitive. The goal of the group is to deliver the highest image quality to our surgeons for all our da Vinci robot systems. The focus of the group is mainly on the imaging algorithms, algorithmic tuning and calibration of the endoscopes, displays, and illuminator needed to accomplish excellent image quality. We also help spec and define the light source, optics, sensor and displays used on the da Vinci robotic systems because all these components contribute to the surgical image quality.

Essential Job Duties

• Design, implement, and improve methods and algorithms used to characterize and calibrate image sensors, cameras, and illumination solutions
• Evaluate and improve real-time image processing pipeline algorithms
• Build protocols for optimizing and defining image quality specifications
• Perform calibration of cameras and the entire vision system
• Deliver superb camera video to clinicians

Qualifications

Required Skills and Experience

University Hiring Program Eligibility Requirements:

• University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
• 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.

Required Education and Training

• Current enrollment in an imaging-related [e.g. Imaging Science, Electrical & Computer Engineering, or related] degree-seeking program at the Doctorate level.
• Master’s level students would also be considered based on specific relevant experience.

Preferred Skills and Experience

• Experience in developing image and video processing algorithms or control loops
• Demonstrated skill at solving complex engineering problems
• Proven scientific knowledge of imaging physics and human perception
• Knowledgeable in camera sensors, displays, optics and illumination sources
• Proficient in Matlab (Python or C/C++ a plus)
• Experience with GPU/CUDA programming a plus