About the job
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here. The person in this position will be expected to work with a cross-functional team to develop real-time intraoperative intelligence software for minimally invasive robotics system, to improve the surgical efficiency and clinical outcome for patients. Successful candidates will have experience in algorithm development, software design and development. The ideal candidate is an independent and fast-paced developer with excellent problem-solving skills and a passion for good software architectures and processes, capable of producing robust, high-quality code in the face of rapidly changing requirements.
Responsibilities
Participating in the full cycle of the development of intraoperative surgical software
Understanding clinical requirements and developing technical specifications
Designing, prototyping, and implementing user-facing software and computer vision / machine learning algorithms
Iterating with user feedback and delivering production-ready code
Supporting system integration and testing
Generating formal design documentation
Preparing and review patent applications
Contributing to system and software architecture
Staying up-to-date with the latest model architectures and development trends and technologies, and proposing innovative solutions to enhance our software algorithms
Qualifications
Minimum
Minimum Master's degree or PhD in Computer Science, Electrical Engineering, or related fields
Deep understanding and hands-on experience in computer vision, and machine learning algorithm development
Knowledge and experience in one or more of the following areas: image segmentation / registration / reconstruction
Software development experience using C++ or Python, and experience with OOP design
Familiar with one or more tools and libraries: OpenCV, PyTorch / TensorFlow, ITK / VTK
Strong verbal and written communication skills
High levels of independence and technical ownership
Preferred
Proficiency in GPU programming such as CUDA
Experience with software development process in a regulated medical device environment
Knowledge and experience in camera pose estimation / SLAM