Embedded Software Engineer - Platform

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

Our team designs and builds the embedded platform software infrastructure that supports critical performance, safety and user-facing features of the da Vinci™ Surgical System, Intuitive’s flagship product. We’re looking for a high energy, talented, engineer to contribute broadly to the embedded software stack. In this role, you will focus on board bring-up and software development for our next-generation based platforms supporting video networking, UI display, and machine learning applications capabilities of Da Vinci 5 while improving robustness, reliability, manufacturability, and serviceability.

Essential Job Duties

• Assist in board bring-up activities for NVIDIA-based platforms including bootloader configuration, BSP customization and peripheral driver integration
• Support development and testing of embedded software for video networking, UI display, and machine learning applications on Linux-based systems
• Develop and execute test plans to validate board functionality, peripheral interfaces, and system performance metrics
• Collaborate with hardware engineers to identify and resolve board-level issues during early development phases
• Contribute to the development of automated test frameworks for board validation and regression testing