Principal Applied Robotics Engineer

Enterprise robotics at Mayo Clinic spans clinical and surgical robotics and service and mobile robotics logistics transport environmental services and patient-facing platforms delivered through multi-vendor fleets on a shared foundation of connectivity data security and standards and evolving from sensor-driven deterministic robots toward AI-driven autonomous systems. The Principal Applied Robotics Engineer is the most senior capability-engineering individual contributor exercising broad technical authority across multiple enterprise-critical initiatives for what robots can do for the enterprise and how their behavior is engineered. The incumbent sets the engineering direction for applied robotic behavior perception navigation manipulation and autonomy across the portfolio and serves as the definitive technical resource for the hardest capability and feasibility problems. Working in close partnership with research scientists who own forward-looking research. The principal leads hands-on productionization and enterprise-scale evaluation of emerging capability without duplicating the research mandate and partners with enterprise architects on standards. This is an individual-contributor role with no direct reports that provides broad functional and technical leadership while modeling stewardship integrity and a commitment to developing others in service of patients staff and the organization.

Bachelors degree in robotics computer science computer engineering electrical engineering mechanical engineering mechatronics artificial intelligence/machine learning or a related field and ten (10) years of progressively responsible relevant experience required including demonstrated technical leadership of complex initiatives.

Masters or doctoral degree in a related field preferred.

Extensive demonstrated authority engineering and evaluating robotic behavior and autonomy on physical platforms at scale is expected. Track record setting technical direction for perception autonomy or manipulation; deep simulation-to-reality and learning-based expertise including approaches such as vision-language-action (VLA) and foundation models; leadership of emerging-technology assessment for humanoid and generalist systems; healthcare or comparable safety-critical settings.

The preferred candidate will possess:

• Significant experience developing and productionizing robotic or autonomous systems including experience with perception navigation manipulation motion planning and/or autonomous decision-making.
• Advanced programming experience in C and Python and demonstrated experience developing production-quality robotics software.
• Experience with ROS/ROS 2 and related robotics frameworks tools and ecosystems.
• Experience integrating and fusing data from robotic sensors such as cameras depth cameras LiDAR force/torque sensors or other sensing modalities.
• Experience with robotics simulation testing and validation technologies such as NVIDIA Isaac Sim Gazebo digital twins hardware-in-the-loop or simulation-in-the-loop environments.
• Experience with AI/ML techniques applied to robotics including computer vision robot learning reinforcement learning foundation models or other approaches to intelligent autonomous behavior.
• Demonstrated experience evaluating the performance reliability safety and failure modes of autonomous robotic capabilities in complex dynamic human-centered environments.
• Experience serving as a technical lead or senior individual contributor across multidisciplinary robotics initiatives including translating emerging research into scalable production-ready capabilities.
• Experience developing robotic or autonomous systems for healthcare medical devices logistics industrial automation or other safety- or mission-critical environments.