Principal Robotics Systems Engineer

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

• Medical:
  
  Multiple plan options.
• Dental:
  
  Delta Dental or reimbursement account for flexible coverage.
• Vision:
  
  Affordable plan with national network.
• Pre-Tax Savings:
  
  HSA and FSAs for eligible expenses.
• Retirement:
  Competitive retirement package to secure your future.

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 Robotics Systems Engineer is the most senior integration-and-platform individual contributor, exercising broad technical authority across multiple enterprise-critical robotics initiatives.

The incumbent sets the engineering direction for enterprise fleet observability, cross-vendor orchestration, and multi-vendor interoperability at enterprise scale, and serves as the definitive technical resource for the hardest systems problems. Working in close partnership with enterprise architects who own enterprise reference architecture and standards, the principal translates that architecture into concrete, scaled engineering reality across initiatives without owning the enterprise architecture itself.

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.

Bachelor's degree in robotics, mechanical engineering, electrical engineering, computer engineering, computer science, systems engineering, mechatronics, or a related field and ten (10) or more years of progressively responsible relevant experience required, including demonstrated technical leadership of complex implementations.

Master's or doctoral degree in a related field preferred.

Extensive, demonstrated authority in multi-vendor robotics integration, interoperability standards, and fleet or platform engineering at enterprise scale is expected.

Track record setting technical direction for interoperability, orchestration, and observability platforms; deep expertise in interoperability standards and frameworks such as VDA 5050, Open-RMF, and OPC UA and healthcare data standards such as HL7 (including FHIR); cybersecurity frameworks for connected medical and operational technology such as ISA/IEC 62443 and IEC 81001-5-1, with working knowledge of FDA premarket cybersecurity guidance and ANSI/AAMI SW96 for vendor evaluation;

leadership of cross-functional technical initiatives in healthcare or comparable regulated settings.

Advanced vendor-platform, safety, security (such as ISA/IEC 62443), or architecture certification.

The preferred candidate will possess:

• Significant experience architecting, developing, and operating production robotics, autonomous systems, IoT, edge-computing, or other distributed cyber-physical systems.
• Experience with ROS/ROS 2 and integration of heterogeneous robotic platforms, fleet-management systems, and vendor APIs.
• Experience designing scalable distributed systems and integration architectures using technologies such as REST/gRPC APIs, event-driven architectures, message brokers, MQTT, Kafka, or related technologies.
• Experience with cloud-native and edge technologies, including containers, Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
• Experience designing fleet observability and operational telemetry solutions using technologies such as Open Telemetry, Prometheus, Grafana, Splunk, Datadog, ELK/Open Search, or similar platforms.
• Experience with deployment, configuration management, CI/CD, remote software updates, and lifecycle management of distributed physical devices or robotic fleets.
• Experience integrating multi-vendor robotic or autonomous systems and familiarity with…