Software Engineer

Intuitive Surgical, Inc. in; San Fernando (CA); On-site; USD 130,000 - 210,000; Full time

Job summary

Intuitive seeks a Software Engineer to build a modern, scalable Data as a Service platform powering Digital products and supporting 2,000+ engineers. You will own real-time and micro-batch pipelines, APIs, and data services to enable high-throughput, low-latency access for analytics and product development.

You will define architecture, foster self-service analytics, and mentor teams while replacing legacy processes with robust, scalable solutions that accelerate engineering velocity and

Qualifications

• Experience designing and shipping scalable data platforms.
• Proficiency building real-time and batch data pipelines.
• Strong collaboration with analytics, engineering, and product teams.

Responsibilities

• Design and build scalable, distributed Data as a Service that ingest, process, and serve data from various sources in real time and batch modes.
• Develop and maintain robust APIs, data services, and tooling for secure, efficient data access.
• Partner with stakeholders to evolve data contracts and models for new use cases and semantic consistency.
• Implement CI/CD practices for data services with automated data quality, reliability, and schema evolution tests.
• Champion a self-service data culture by creating discoverable, well-documented data products for autonomous access.
• Act as a technical leader driving best practices, mentoring teammates, and improving how data is produced and consumed across the organization.

Skills

Distributed systems

Data streaming

APIs

CI/CD

Mentorship

Job description

Job Description

We’re looking for a Software Engineer who is passionate about building a modern, scalable Data as a Service (DaaS) platform that powers Intuitive’s Digital products and supports over 2,000 engineers across the organization. In this role, you will own and evolve critical components of our real-time and micro-batch data pipelines that power product development, internal tools, and analytics.

Your work will focus on enabling high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs, driving discoverability, accessibility, and actionable insights. You will help define the architecture and engineering practices that support self-service analytics and operational decision-making on scale.

As a catalyst for change, you will be at the forefront of reimagining how engineering teams consume and interact with data. Long-term success in this role means building robust, efficient systems and replacing legacy processes with modern solutions that allow teams to move faster, with greater confidence and autonomy.

Responsibilities:

• Design and build scalable, distributed Data as a Service that ingest, process, and serve data from robotics, manufacturing, engineering, and clinical sources in real time and batch modes.
• Develop and maintain robust APIs, data services, and tooling to provide internal teams with secure, efficient, and intuitive access to high-quality data.
• Partner with engineering, analytics, and business stakeholders to evolve data contracts and models that support emerging use cases and ensure semantic consistency.
• Implement CI/CD practices for data services, including automated testing for data quality, service reliability, and schema evolution.
• Championing a self-service data culture by building discoverable, well-documented data products and guiding teams toward empowered, autonomous data access.
• Act as a technical leader within the data domain driving best practices, mentoring teammates, and continuously improving how data is produced, shared, and consumed across the organization.