Company Description
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.
Job Description
Primary Function of Position:
As a Sr Software Engineer Navigation on the Future Forward team, you will bridge digital interfaces and machine learning to extend Intuitive’s robotic product lines. Working at the intersection of embedded UI, computer vision, and robotic kinematics, you will design and optimize the C++ runtime systems that connect live sensor and robot data to CV/ML inference. This role spans the entire development cycle—from prototyping approximate requirements to delivering high-quality production code on resource-constrained hardware. The ideal candidate combines strong systems-level C++ skills with a working knowledge of geometric computer vision and robotics, learns quickly, and thrives in a collaborative, multi-disciplinary environment.
Essential Job Duties
- Design and implement high-performance C++ data pipelines (shared-memory ring buffers, lock-free queues, time-synchronized capture) that feed live video, kinematics, and sensor streams into CV/ML algorithms on embedded platforms
- Develop and optimize registration and calibration algorithms, including point-cloud alignment, hand-eye calibration, and forward kinematics-based coordinate frame transformations to enable accurate surgical navigation
- Collaborate with ML engineers to integrate inference models (depth estimation, 3D reconstruction) into the real-time navigation stack, ensuring accuracy and latency budgets are met
- Partner with UI/graphics engineers to create navigation overlays, 3D visualizations, and augmented guidance within the embedded Qt/QML interface
- Build and maintain effective working relationships across software engineering, clinical engineering, design, human factors, and regulatory teams
- Own the medical device software lifecycle end-to-end for navigation components, including requirement definition, risk assessment, prototyping, development, verification, and release
