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Intuitive

Staff Software Engineer

Sunnyvale, CA, United States

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Job details

Experience: Solid quantitative background in Computer Science, Engineering, Physics, Math, or 8–10+ years of hands-on experience in a technically demanding role.
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies - like the da Vinci surgical system and Ion - have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful - because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Job Description

Primary Function of Position:

The Staff Software Engineer will lead the design and evolution of a modern, scalable Data-as-a-Service (DaaS) platform that supports Intuitive Digital products and enables more than 2,000 engineers across the organization. This role is responsible for owning and advancing critical components of our real-time and micro-batch data pipelines that power product development, internal tools, and analytics. The engineer will provide architectural direction, influence cross-team data standards, ensure reliability and performance at scale, and drive strategic initiatives that improve developer productivity and data accessibility across the organization. Major work will focus on enabling high-throughput, low-latency data delivery through streaming pipelines, dynamic transformations, and APIs, driving application development, AI/ML, and actionable insights. You will help define the architecture and engineering practices that support self-service analytics and operational decision-making on scale. Essential Job Duties

Build highly scalable distributed systems that leverage event-based and streaming data pipelines to handle ingestion and processing of robot, manufacturing, and clinical data
Enable users by providing self-service APIs and applications to access and interact with data
Work closely with core engineering teams to consistently evolve data models based on growing business needs
Apply and evangelize software development best practices such as CI/CD, automated testing, infrastructure-as-code, and microservice architectures
Effectively participate in the team’s planning, code reviews, KPI reviews, and design discussions leading to continuous improvement in these areas.
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

Qualifications

Required Skills and Experience

Fluent coding with at least two of the following: Python, Go, Scala, Java, C++
Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow
Deep technical knowledge & experience with Data Platform components/design patterns:Event-Driven Pipelines (e.g. AWS Lambda)Message Queues (e.g. Kafka)Container Orchestration (e.g. Kubernetes) Stream Processing (e.g. Flink, Spark) Relational Databases (e.g. Postgres)Data Warehouses (e.g. Snowflake)Analytics Engineering (e.g. DBT)Workflow Orchestration (e.g. Airflow)Search Engines (e.g. Elasticsearch)
Strong understanding of CI/CD workflows, unit testing and integration testing, and deployment patterns.
Experience with AWS and/or GCP
Experience with SQL and relational databases

Ability and enthusiasm to work collaboratively and cross-functionally, and take end-to-end ownership to deliver results for customers

Required Education and Training:

Solid quantitative background in Computer Science, Engineering, Physics, Math, or 8–10+ years of hands-on experience in a technically demanding role. Minimum a bachelor's or master's degree in computer science, information technology, or a related field. Preferred Skills and Experience

Experience on a Platform team
Experience with Gitlab CI/CD or other CI tooling
Experience with Terraform, Ansible, Packer + general IaC best practices
You’re familiar with CNCF projects and have successfully used them in the past
Ph.D. in computer science, mathematics, or a related field

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on

business need and/or on the selected candidate’s experience, knowledge and skills.

Compensation will be based primarily on the job level at which the role is filled and the

candidate’s qualifications, consistent with applicable law.

Accommodation & Accessibility Notice:

Intuitive is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require assistance or an accommodation during any part of the application or interview process, please contact People Services at HRHelpNow@intusurg.com. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

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More about this job

Skills

Decision making
Data models
Software development
CI/CD
Test automation
Infrastructure as code
Process improvement
Coaching
Python
Go
Scala
Oracle Java
C++
Apache Spark
Apache Kafka
Elasticsearch
Snowflake
Apache Airflow
AWS
Kubernetes
Google Analytics
Workflow
Search engines
Unit testing
Google Cloud
SQL
Computer science
Computer technology
GitLab
IBM Terraform
Ansible

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