Staff Software Engineer - Systems Integration & Release

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

The Systems Integration & Release generalist brings systems-level thinking and hands-on capability across the entire product stack—from robotics hardware through edge and cloud infrastructure to user-facing mobile applications. This role partners with QA, platform, product, and AI/ML teams to design, validate, and continuously improve release processes, quality gates, and automation. The ideal candidate is comfortable tracing issues end-to-end, making targeted technical contributions, and influencing engineering quality through data-driven insights—without being expected to own or build every system from scratch.

Core Responsibilities

• Systems-Level Issue Tracing:
  Trace and diagnose system-level issues spanning robotics hardware, edge devices, cloud services, and mobile applications, identifying integration gaps and collaborating with domain experts to resolve them.
• Release Process Improvement:
  Partner with QA, SRE, and platform teams to design and refine release processes, establish actionable quality gates, and ensure robust validation across the product ecosystem.
• Targeted Technical Contributions:
  Make hands-on, targeted enhancements to automation scripts, test frameworks, and data pipelines as needed to support integration, validation, and observability efforts—leveraging but not replacing domain specialists.
• Data Analysis & Visualization:
  Analyze operational and test data, develop clear visualizations and dashboards, and communicate actionable insights that drive engineering and product decisions.
• Cross-Functional Collaboration:
  Serve as a technical bridge, facilitating alignment and information flow between QA, DevOps, product, and AI/ML teams to ensure system-level quality and release readiness.
• Continuous Improvement:
  Proactively identify opportunities to enhance automation, monitoring, and test coverage, and drive lessons learned into future release cycles.

Qualifications

Required Qualifications

• 7+ years of experience in systems engineering, integration, automation, or release management, ideally in robotics, IoT, or complex digital platforms.
• Demonstrated ability to trace and debug issues across hardware, edge, cloud, and application layers, collaborating with specialists as needed.
• Proficiency in scripting/programming (Python, Bash, or similar) and familiarity with automation, CI/CD, and test frameworks.
• Strong analytical skills with experience in data processing and visualization (e.g., Python, Tableau, Grafana) to create actionable engineering insights.
• Excellent communication and collaboration skills, with a proven ability to work effectively across multidisciplinary teams and technical domains.
• Experience making targeted improvements to automation, monitoring, or validation environments without being the primary owner of these systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent work experience).

Preferred Qualifications

• Experience with robotics, IoT, or hybrid hardware/software systems.
• Familiarity with cloud infrastructure, edge computing, and mobile application integr