Embedded Software Engineer - Platform

IntuitiveSunnyvale, CA
3d

About The Position

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.

Requirements

  • Bachelor's degree in Computer Engineering, Computer Science, or related technical field and 5 year's of experience; or Master's degree and 3 year's of experience; or a PhD without experience; or equivalent experience
  • Strong programming skills in C/C++ for embedded systems development
  • Understanding of embedded Linux fundamentals, including kernel, device drivers, and user space applications
  • Familiarity with embedded development tools such as GDB, JTAG, and cross-compilation toolchains
  • Knowledge of hardware interfaces and protocols (i2c, SPI, UART, USB, Ethernet, CAN)
  • Strong debugging and problem-solving skills with a systematic approach to troubleshooting
  • Effective written and verbal communication skills for technical documentation and team collaboration

Nice To Haves

  • Experience with NVIDIA Jetson platforms or similar ARM-based SOCs
  • Knowledge of GPU acceleration (CUDA) and machine learning frameworks (TensorRT)
  • Experienced with Python and bash scripting for test automation and bootup design
  • Demonstrated experience in and comfort with all phases of the product development lifecycle including design, implementation, debug, verification, validation, and transfer to manufacturing
  • Experience designing software products in an FDA or other regulated industry or for mission critical applications; comfortable with concepts of design input, design output, traceability, risk analysis, and mitigations

Responsibilities

  • 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
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