- Robot type
- Surgical and Medical
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Software
- Posted
- Aug 4, 2026
Senior Embedded Software Development Engineer Video
Job description
Contribute broadly to the Video Software Engineering Group, responsible for the Linux-based, embedded software that controls the real-time, high-definition, stereo video processing engine and intra-body illumination at the heart of the da Vinci™ Surgical System. The successful candidate must thrive in a fast-paced, focused team environment, be able to derive solutions from rough requirements, and care deeply about customer needs and high product quality. Intuitive Surgical believes in shared responsibility and shared reward.
Job responsibilities
- Detailed design, development, documentation, and verification of product-focused, rock-solid embedded software.
- Bring-up and integration of new, high-performance cameras and image-sensors.
- Integration and evaluation of advanced camera pipeline video processing algorithms.
- Development and enhancements of the color and power control functions for intra-operative illumination.
- Working on a cross-functional team at multiple levels, from architectural definition and implementation to system integration and final product testing.
- Contributing to other areas of software development, such as: extension of current processing frameworks to new hardware platforms
- design and development of offline simulation environments to facilitate rapid software development and test
- hardware / software diagnostic tool design and development
Job requirements
- Minimum Bachelor's or master's degree in a STEM field, with a minimum of 8 years of industry experience in developing C/C++ software for embedded systems.
- Experience with developing software in an embedded Linux environment.
- Familiarity with programming and configuration of hardware devices.
- Experience with scripting languages (e.g. Python, JavaScript, MATLAB, etc.) for diagnostics or test automation.
- Demonstrated experience and comfort with all phases of the product development lifecycle, including design, documentation, implementation, debug, verification, validation, and transfer to manufacturing.
- Direct experience with imaging devices, e.g., cameras, light sensors, video/graphics hardware.
- Knowledge of image-processing, CUDA, ML, and/or FPGA integration.
- Experience as a technical lead for cross-functional SW/HW development efforts.
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