Senior Software Engineer

Intuitive•Sunnyvale, CA
•$160,300 - $271,400•Onsite

About The Position

Intuitive's Intraoperative Intelligence team is focused on Clinical Decision Intelligence: helping surgeons make better decisions in the operating room by giving them information they don't currently have access to. We do that through a combination of imaging, machine learning, and augmented reality, extracting meaning from the surgical scene and presenting it in ways that are actually useful in the moment. You'll be taking novel clinical ideas from rough concept to production software on the da Vinci platform, working alongside a small, tight-knit group of engineers and researchers across computer vision, machine learning, graphics, and imaging software — collaborating to define what a feature actually needs to be, then driving it from early prototype to fully integrated, production-ready software. At Intuitive, "Patients First" is more than a motto. In this team, that translates directly into how we build software. Strong engineering is a given, but the real measure of success is whether what we put in front of a surgeon makes a difference when it matters most. We build for outcomes, not for the sake of building.

Requirements

  • Bachelor's degree or higher in Computer Science, Software Engineering, Electrical Engineering, or a related technical field. Equivalent practical experience will be considered.
  • Strong proficiency in C++ in a production software environment
  • Solid understanding of computer graphics fundamentals, including rendering pipelines, shaders, and scene management
  • Practical experience with graphics APIs such as OpenGL, Vulkan, or Metal
  • Experience integrating software into larger systems with well-defined interfaces and constraints

Responsibilities

  • Design, build, and maintain software for real-time surgical visualization and augmented reality applications running on the da Vinci surgical system
  • Collaborate closely with designers, clinical engineers, human factors specialists and software teams to translate complex clinical needs into reliable, performant software
  • Build and iterate on prototypes quickly, then carry the best ideas through to production
  • Define high-level requirements and architect clean software interfaces for a distributed robotic system
  • Participate in failure mode analysis, to identify and implement robust hazard mitigation strategies
  • Work within a regulated development environment, supporting verification, validation, and documentation requirements as needed
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