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Intuitive Surgical

Builds robots for minimally invasive surgery

Senior Software Quality Engineer - Coe structure

QA & TestingConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Software Engineering, Electrical Engineering, Biomedical Engineering, or a related technical discipline.
  • At least 8 years of experience in software engineering, software quality engineering, software test engineering, systems engineering, or related software development disciplines.
  • Hands-on experience in software development, software testing, automation engineering, DevOps, systems engineering, or product development environments.
  • Ability to understand and evaluate software implementations beyond document review activities.
  • Strong understanding of the complete Software Development Life Cycle, including requirements, architecture, design, implementation, verification, deployment, maintenance, and post-market support.
  • Working knowledge of software programming concepts and software development practices.
  • Ability to review and understand software code, architecture diagrams, interface designs, and technical implementation approaches.
  • Ability to read, understand, and evaluate production software implementations, software architecture, and technical design decisions.
  • Ability to review source code, pull requests, automation frameworks, and continuous integration/continuous delivery workflows to identify quality, reliability, maintainability, and compliance risks.
  • Experience with software technologies such as C++, Python, C#, Java, JavaScript, or similar languages sufficient to assess implementation quality and technical risk.
  • Experience with Git-based source control systems.
  • Understanding of modern software configuration management principles.
  • Experience with continuous integration/continuous delivery technologies such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, or equivalent platforms.
  • Knowledge of software build systems, deployment pipelines, release management, and software traceability controls.
  • Experience evaluating or developing automated testing solutions.
  • Knowledge of software testing methodologies including unit testing, integration testing, system testing, and performance testing.

Responsibilities

  • Serve as the Product Quality representative for software-intensive products and provide independent quality oversight across the software development lifecycle.
  • Partner with software and systems engineering teams to drive quality-by-design principles early in product development.
  • Participate in architecture, design, and technical review activities to identify quality, reliability, maintainability, and cybersecurity risks before implementation.
  • Evaluate software development practices and ensure alignment with industry-recognized engineering and quality principles.
  • Promote shift-left quality practices that prevent defects rather than relying solely on downstream verification activities.
  • Assess software lifecycle execution against IEC 62304, FDA Quality System requirements, ISO 13485, and applicable organizational procedures.
  • Review software requirements, design specifications, risk controls, traceability structures, verification strategies, and release evidence to ensure lifecycle integrity.
  • Provide quality consultation on software development methodologies including Agile, DevOps, continuous integration/continuous delivery, iterative development, and hybrid lifecycle models.
  • Evaluate software engineering deliverables for quality, completeness, maintainability, testability, and technical risk.
  • Participate in software architecture and design reviews as an independent quality and risk management partner.
  • Assess system designs for scalability, modularity, reliability, resilience, maintainability, and testability.
  • Review integration architectures, interface designs, cloud-connected systems, APIs, embedded systems, and software platforms for quality and compliance concerns.
  • Challenge technical assumptions and facilitate risk-based discussions regarding design decisions and implementation approaches.
  • Evaluate software configuration management practices including source control, branching strategies, build management, release management, and product traceability.
  • Assess continuous integration/continuous delivery pipelines and automated quality gates for effectiveness and regulatory compliance.
  • Review software release readiness criteria, build reproducibility controls, deployment processes, and software integrity safeguards.
  • Provide oversight of software bill of materials, software configuration baselines, and release governance activities.
  • Assess software verification and validation strategies using risk-based and quality-focused approaches.
  • Evaluate automation frameworks, test coverage, traceability, defect trends, and verification effectiveness.
  • Promote development of automated testing solutions including unit, integration, system, API, performance, and end-to-end testing approaches.
  • Drive testability considerations during requirements and architecture phases.
  • Evaluate software cybersecurity risks throughout the product lifecycle.
  • Collaborate with Product Security and Cybersecurity teams to promote Secure SDLC practices.
  • Participate in threat modeling, security risk assessments, vulnerability reviews, and cybersecurity readiness activities.
  • Support compliance with FDA cybersecurity guidance, NIST frameworks, and industry best practices for secure medical device development.
  • Support quality and regulatory oversight of AI/ML-enabled software solutions.
  • Assess AI lifecycle controls related to data quality, model validation, bias mitigation, transparency, and traceability.
  • Promote risk-based validation strategies for AI-enabled healthcare products.
  • Support adoption of emerging technologies while maintaining patient safety, product quality, and regulatory compliance.
  • Support development and continuous improvement of software quality processes and procedures.
  • Participate in CAPA investigations, root cause analysis, audits, inspections, and continuous improvement initiatives.
  • Develop and monitor software quality metrics that support risk-based decision making.
  • Provide technical mentorship and guidance to engineering teams on software quality best practices.

About the Company

Intuitive Surgical

Builds robots for minimally invasive surgery

Intuitive Surgical makes da Vinci robots that let surgeons operate through a few small incisions, and Ion, a robot that reaches deep into the lungs to take tissue samples. In 2000, da Vinci became the first robotic system cleared by the FDA for general laparoscopic surgery, meaning keyhole operations in the abdomen. A surgeon sits at a nearby console and steers robotic arms holding a 3D camera and wristed instruments, which turn hand movements into smaller, steadier motions. Hospitals buy or lease the robots, then keep paying for the instruments used in each operation and for service. Intuitive was founded in 1995 to commercialize robotic surgery research from SRI International and is based in Sunnyvale, California.

Company size
10,001+
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
1995

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