Senior Embedded Software Engineer - Platform Software
Listed on Intuitive’s official careers site. Posted November 6, 2026. Check that it is still open and apply there.
Apply on Intuitive’s careers site →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, experienced embedded software engineer to take technical ownership across our embedded platform software stack. In this role, you will lead board bring-up initiatives, drive architectural decision for our next-generation platforms, and serve as a technical anchor for the team – mentoring junior engineers and collaborating cross-functionally with hardware, system software, and FPGA teams.
You will own critical subsystems supporting video networking, UI display, and machine learning capabilities of Da Vinci 5 while driving improvements in robustness, reliability, manufacturability, and serviceability.
Essential Job Duties
Lead board bring-up activities for next generation-based platforms including bootloader configuration, BSP customization, peripheral driver integration and system validation – taking end-to-end ownership from initial power-on through production readiness. Own development and drive the technical direction of embedded software for video networking, UI display, and machine learning applications on Linux-based systems – including architectural decisions, code review and performance optimization.
Design and own comprehensive test strategies to validate board functionality, peripheral interfaces, and system performance metrics – including defining acceptance criteria and driving resolution of complex hardware-software integration issues. Partner with and technically guide hardware engineers to identify, root-cause and resolve board-level issues during early development phases – serving as the primary software interface for cross-functional hardware bring-up Architect and lead the development of automated test frameworks for board validation and regression testing – establishing scalable infrastructure usable across multiple platform variants.
Mentor junior and mid-level engineers through code reviews, technical guidance, and hands-on debugging support – actively contributing to the growth of the team. Author and maintain technical documentation including design specifications, bring-up procedures, and failure analysis reports in compliance with FDA-regulated development processes.
Qualifications
Required Education, Skills & Experience
- Minimum of 8 years of related experience and a Bachelor's degree; or 6 years experience and a Master's degree; or a PhD with 3 years of experience; or equivalent experience Expert-level proficiency in C or C++ for embedded systems development, including memory management, real-time constraints, and performance-critical code Experience in bare-metal, embedded Linux, including kernel internals, custom device driver development, BSP bring-up, and user space application development
- Proficiency with embedded development and debugging tools including GDB, JTAG, logic analyzers, oscilloscopes, and cross-compilation toolchains
- Proven hands-on experience with hardware interfaces and protocols (I2C, I2S, T1S, SPI, UART, USB, Ethernet, CAN) – including bring-up debugging, and driver development for each Debugging and root-cause analysis skills, with a track record of resolving complex, multi-layer Hardware-FPGA-software integration failures in time-critical environments
- Demonstrated ability to mentor and technically develop junior and mid-level engineers Effective written and verbal communication skills for technical documentation and cross-functional team collaboration
Preferred Skills & Experience
Hands-on experience with NVIDIA Jetson platforms (TX2/Xavier/Orin or similar) or comparable ARM-based SOCs in a production embedded environment Hands-on experience with GPU acceleration (CUDA) and hardware-accelerated inference frameworks (TensorRT) in production embedded systems Experience with QNX RTOS or other real-time operating systems in safety-critical applications.
- Proficiency in Python and bash scripting for test automation, bootup design, and build system integration
- Demonstrated ability to root cause complex hardware-software interactions
- 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
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