Robotic Algorithms and Controls Manager (Systems Analyst Manager)

Job description

Primary Function of Position The Ion™ endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. The Ion Product Engineering team is responsible for the continued development and improvement of the Ion™ platform across the full system. The Robotic Algorithms and Controls Manager (Systems Analyst Manager) is responsible for leading a high-performing team responsible for the design, development, and evaluation of the robotic control algorithms that power the Ion™ platform.

The role spans mechanical, software, electrical, and quality and regulatory domains and demands close cross- functional collaboration to deliver best-in-class robotic systems. The ideal candidate brings the technical depth to tackle complex analysis problems firsthand, and the leadership to set direction, develop talent, and drive solutions across an interdisciplinary team.

Qualifications

Required Skills and Experience

Leadership & People Management Lead and develop the team of Systems Analysts; assess capacity and skill needs, provide coaching, hire, and ramp up talent as the team grows. Drive continuous improvement by synthesizing field and manufacturing inputs, prioritizing long-term projects, and aligning with cross-functional teams and leadership. Ensure the team adheres to design control processes (risk assessments, design reviews, V&V, etc.) per FDA and ISO standards.

Cross-Functional & Program Management Own cross-functional interfaces (Electrical, Mechanical, Software, Clinical, Regulatory) and represent the team in program reviews; communicate status and decisions clearly across technical and leadership audiences. Oversee software release documentation, including regulatory escalations, anomaly listings, and patch effectiveness tracking. Technical Contribution Demonstrate sound engineering judgment and strong problem-solving skills across software and hardware domains.

Deep expertise in control theory fundamentals and its application to mechatronic system design, verification, and safety; guide the team through complex design tradeoffs. Strong C/C++ and MATLAB programming skills; remain hands-on to support the team in troubleshooting and problem resolution. Required Education and Training PhD in Computer Science, Mechanical Engineering, or Robotics; Masters-level candidates will be considered based on relevant experience. 4+ years of experience as an individual contributor and 2+ years in a leadership position