System Analyst Intern

Intuitive • Sunnyvale, CA

12d

About The Position

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Primary Function of Position Systems Analysts (Robotic Control Engineers) are responsible for generating, debugging, and tuning the key motion algorithms associated with Intuitive Surgical products. As a Systems Analyst Intern on the Ion Endoluminal project, Intuitive’s robotic platform for minimally invasive biopsy in the peripheral lung, the hired candidate will collaborate on investigations that inform next generation motion control algorithms and their interaction with hardware designs. The successful candidate will have both the technical depth to identify and resolve complex control algorithm issues and the breadth to work with cross-functional teams team to remove blockers.

Requirements

• 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 a Computer Science, Mechanical Engineering, or Robotics degree-seeking program at the Doctorate level.
• Master’s level students would also be considered based on specific relevant experience.

Responsibilities

• Apply control theory to the design and verification of mechatronic and robotic systems.
• Bring-up distributed electro-mechanical systems to be used for experimentation.
• Validate and iterate on simulated dynamic models through targeted experimentation.
• Design experimentation that untangles complex dependencies and drives understanding of key relationships

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees