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Leads technical development of multiple advanced energy medical-device programs from benchtop through clinical use and manufacturing transfer. Owns architecture, requirements, verification, risk management, budgets, schedules, staffing, and resource prioritization. Directs cross-functional hardware and software teams, supports quality and regulatory activities, prepares agency submissions, advises executives, develops intellectual property, and builds engineering leadership talent. Requires deep embedded electrical engineering expertise, regulated product-development experience, and substantial people and portfolio management experience.

Develop and maintain field service documentation for complex medical device hardware. Independently investigate systems through laboratory, engineering, and field demonstrations; translate technical concepts into clear procedures; establish documentation standards; manage document releases and change records; improve workflows and tools; and mentor junior writers and contractors. The role requires strong technical judgment, DITA XML expertise, Adobe tools proficiency, medical device experience, and on-campus laboratory work at least three days weekly.

Leads complex, cross-functional digital programs involving software delivery, cloud infrastructure, platform engineering, DevOps, and operational readiness. Manages scope, schedules, budgets, dependencies, risks, quality, regulatory compliance, and stakeholder communication across business units and external partners. Drives prioritization, phase-gate discipline, conflict resolution, and process improvements while ensuring infrastructure-intensive initiatives deliver successful outcomes in a regulated medical-device environment.

Coordinates and improves global talent management programs, including onboarding, leadership development, talent reviews, and succession planning. Manages project plans, events, vendors, budgets, communications, reporting, analytics, and stakeholder support. Uses technology and AI-enabled tools to improve scalability and participant experiences while partnering with HR teams, leaders, employees, and external providers.

Designs and develops high-precision mechanical, electromechanical, and robotic surgical instruments from concept through validation. Responsibilities include CAD modeling, prototyping, testing, tolerance analysis, FEA, documentation, risk analysis, design reviews, and collaboration with software, electrical, manufacturing, and clinical teams. The role also provides technical mentorship, supports regulatory compliance, contributes to patents, and participates in clinical and pre-clinical activities. Travel up to 10% is required.

Leads human-centered industrial design for robotic surgery systems from research and concept development through prototyping, testing, and manufacturable production designs. Collaborates with engineering, clinical development, human factors, research, and product management teams. Develops physical forms, ergonomic solutions, visualizations, prototypes, and compelling presentations while considering materials, manufacturing, DFM, DFA, usability, and user needs.

Manages corporate development activities for Intuitive’s da Vinci and Ion business units, including strategic investments, partnerships, licensing, co-development, co-marketing, and M&A. Responsibilities span opportunity sourcing, technology and market assessment, financial modeling, valuation, due diligence, transaction structuring, negotiation, contracting, integration planning, and executive reporting. The role coordinates cross-functional teams and maintains relationships with external companies, investors, advisors, and strategic partners.

Designs, implements, and verifies motion-control, tele-robotic, manipulator, and safety algorithms for surgical robots and instruments. The role analyzes mechatronic systems, integrates hardware and software, evaluates prototypes, supports clinical experiments, documents intellectual property, communicates system performance, and tracks products through manufacturing while ensuring quality and reliability.

Lead research, design, and implementation of machine learning algorithms for computer vision, multimodal data, generative AI, and robotics in surgical platforms. Develop and evaluate vision-action models, datasets, validation methods, and scalable pipelines; integrate algorithms into robotic systems; advance research through patents and publications; and collaborate with engineers, clinicians, users, and academic partners to develop AI technologies for robotic-assisted surgery.

Supports FP&A for European manufacturing and service sites through monthly and quarterly reporting, forecasting, budgeting, expense and capital control, variance analysis, standard cost processes, and ad hoc financial analysis. The role partners with site leaders, improves reporting and controlling tools, reviews purchase and headcount requests, identifies financial risks and opportunities, and develops recommendations to support business decisions.