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Systems Analyst Research Intern

3 months ago


Sunnyvale, California, United States Intuitive Surgical Full time
Job Description

Primary Function of Position:

We seek a Systems Analyst Intern to join the Future Forward Research group at Intuitive Surgical. Our group explores new, promising technologies for future products and applications in the emerging computer—and robot-assisted medical interventions field.

A Systems Analyst is responsible for the design and implementation of telerobotic control algorithms and safety systems for new surgical robots and telepresence applications. This responsibility includes integrating and evaluating fully functional prototypes and translating concepts into finished products.

This position provides analytic assistance to other engineering groups to help design systems, software architectures, and interfaces. It maintains awareness and interest in developing research and technologies related to secure telerobotic and safety-critical systems and actively applies this knowledge to system design.

Roles & Responsibilities:

This position is responsible for all software, tele-op algorithm development aspects, associated tooling, and infrastructure to explore and build an ultra-low latency telerobotic system.

  • Design, develop, and validate tele-op algorithms through analysis and characterization of prototypes.
  • Conduct safety and stability analysis, systematically identify issues, and develop efficient solutions to resolve them.
  • Support and track system performance as it evolves from design to field evaluations.
  • Cross-functional requirements discussions, ranging from customer-facing clinical needs to safety requirements.
  • Translating early requirements into prototype implementations to evaluate and assess a novel and sophisticated robotic system.
  • Apply good software engineering practices to write elegant, maintainable, reusable code.
  • Identify, document, and communicate intellectual property.
  • Create documentation for the developed features and techniques that were tried, rejected, or implemented.