Machine Vision Engineering Intern

Intuitive • Sunnyvale, CA

9d

About The Position

Primary Function of Position Play an important role within Intuitive Surgical designing, building, and supporting machine vision systems in manufacturing equipment used to produce Intuitive’s state-of-the-art robotic surgical devices. Our custom manufacturing equipment employs a wide variety of automated features, including robotics, motion control, machine vision, and data collection, however the primary responsibility for this position is the machine vision elements. Machine vision uses lights, cameras, and image processing algorithms to help guide robots and inspect parts. This position plays a critical role in scaling manufacturing operations, while improving capacity, quality, yield, and efficiency.

Requirements

• Strong technical skills in engineering and math.
• Good communication and documentation skills.
• Interest in robotics, vision, and manufacturing automation.
• 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 an Engineering, Computer Science, Math, Physics or related degree-seeking program at the Bachelor’s or Master’s level.

Nice To Haves

• Knowledge of image processing and analysis techniques.
• Knowledge of machine vision and/or photographic techniques, such as selection and configuration of camera, lens, and lighting for different applications.
• Capable of programming in C# or Python.
• Experience with Cognex and Keyence vision systems.
• Knowledge of statistics and design of experiments.
• Experience with manufacturing automation equipment and robotics.

Responsibilities

• Work with the team to design, implement, and test machine vision system hardware and software.
• Select cameras, lenses, and lighting to optimize image clarity.
• Program image processing algorithms and develop software, including use of deep learning, to perform image analysis and make automated decisions.
• Work with mechanical, controls, and manufacturing engineers to integrate vision systems into larger automated equipment.
• Thoroughly document all aspects of the vision system, including its requirements, design, operation, and qualification.

What This Job Offers

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