Senior Software Engineer

Job description

Primary Function of Position

Our team is responsible for the real-time software infrastructure that supports critical performance, safety, observability and user-facing features of the da Vinci™ Surgical System, Intuitive’s flagship product. Our software includes infrastructure for system observability, motion control algorithms, audio intercom and system sounds, data streaming and logging, and platform support for our next-generation da Vinci™ Simulator product line.

Because our workstreams depend upon and enable the work of other teams, we occupy an exciting intersection of system software architecture, feature development, Observability and demonstration of product safety and reliability. As a Senior Software Engineer, you will be collaborating with talented cross-functional teams across the company to develop applications to help improve robotics system introspection, observability and system event timeline visualization of Intuitive’s robotic surgical platform.

In this role, you will architect and develop applications and pipelines to help understand system software status (events, logs, data streams), build system event timeline and analyze complex multimodal robotics system issues.

Essential Job Duties

Design and develop product-focused, robust and efficient robotics system software observability applications (auto issue detection, log replay), pipelines and analytics to help understand system software status (events, logs, data streams), build system event timeline and analyze complex multimodal robotics system issues. Design and develop robust applications to visualize system status from Logs, Events and Data streams (either locally interfacing to system or from cloud backend) Identify and prove out new architectural enhancements to the software infrastructure and development processes that elevate the broader organization beyond your own team.

Contribute to multiple areas of software development, including but not limited to the following: Robotics system introspection, observability and system event timeline visualization of Intuitive’s robotic surgical platform. Real-time processing performance analysis. Extension of current processing frameworks to next generations of products. Bring-up of research prototypes used to evaluate new product concepts. Design and development of hardware / software diagnostic tools.

Unit testing and code integration efforts to ensure exceptional system reliability and robustness. Contribute to conducting system failure analysis, identifying issues, risks, and discussing effective mitigation strategies.

Interface and collaborate with other teams, including Embedded software, System software, User Interface Software Engineering, Data pipeline & analytics, Field Service User Applications, System

• Test and reliability Engineering to bring robotics observability applications from prototype to launch
• Document software designs according to Intuitive's development and quality guidelines.

Qualifications

Required Education, Skills & Experience Minimum of 8 years of experience and a Bachelor's degree; or 6 years of experience and a Master's degree; or a PhD with 3 years of experience; or equivalent experience. Strong proficiency in Python and ability to understand C++. Familiarity building distributed systems and applications that operate on observability data (log, events, data streams) from robotics or embedded devices.

Experience working with cloud data platforms and services (AWS – Lambda, S3, other services or GCP) in collaboration with data platform teams and developing data pipelines for embedded devices data. Familiarity with deployment infrastructure along with CI/CD pipelines.

Preferred Skills & Experience

Experience building data intensive observability, processing, visualization and automatic issue detection applications for robotics systems (analysis based on system events, logs, data – applying known signatures or ML based techniques). Experience working with robotics and system software for complex distributed systems. Experience in data visualization, knowledgeable in full stack software development. Experience with frontend software stack (e.g., React.js, JavaScript).

Comfort with concepts of design input, design output, traceability, and risk analysis. Demonstrated experience and comfort with all phases of the product development lifecycle (design, implementation, debug, verification, validation, and transfer to manufacturing).