Job Description

Primary Function of Position

The Staff Embedded Software Engineer will work with a group of talented and dedicated people to improve and extend Intuitive’s surgical robotic product lines. The successful candidate will contribute to the Product Engineering Software Engineering Group, with focused contribution on embedded software for da Vinci™ Surgical System products. As a member of the team, you will be a hands-on engineer, working shoulder to shoulder with the team, developing software on state-of-the-art SOMs and SoCs deeply embedded in the robotic system. You will be involved in delivering features to the surgical customer by integrating complex functionality into complete surgical robot solutions and seeing these through to product release as well as resolving issues after release if necessary. The successful candidate must excel in a high-energy small, focused team environment, be able to drive to solutions from rough requirements, and have a commitment to high product quality. Quick learning and a desire to understand requirements and create solutions are essential to becoming a valuable integrator and system developer. A strong sense of shared responsibility and shared reward is required, as is the ability to make work fun and interesting. Supporting you will be a development and management team that knows and cares about what you are doing and wants you to succeed.

Essential Job Duties

  • Own design and development of Linux distributions and kernels and build them using Yocto, Bitbake, and supporting scripts.
  • Integrate vendor-provided pre-build bootloader and kernel binaries into the software development workflow.
  • Profile operating systems for performance issues and drive optimizations to resolve them.
  • Integrate new releases of Yocto SDKs and toolchains into the customized Linux build process.
  • Design build scripts to support cybersecurity encryption and signing of embedded software.
  • Bring up powerful multicore ARM-based SOMs and hundreds of GPU cores enabling video, Machine Learning, AI, and other applications to facilitate surgical robotic applications.
  • Contribute to the development of software risks, hazards, mitigations, requirements, specifications, designs, reliability, modularity, extensibility, and verification & validation.
  • Ability and desire to read and understand a codebase that includes low-level and multi-processing heterogeneous networked processors.
  • Develop new features and investigate and resolve design issues.
  • Collaborate with other engineering disciplines and groups.
  • Support field service and manufacturing organizations.
  • Coaching & mentoring.
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Confirmed a day ago. Posted 30+ days ago.

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