Senior Robotics Systems Engineer

Mayo Clinic•Rochester, MN

About The Position

The Senior Robotics Systems Engineer leads complex, high-ambiguity integration and platform engineering across Mayo Clinic’s enterprise robotics environment. This includes clinical and surgical robotics, as well as service and mobile robotics used for logistics, transport, environmental services, and patient-facing applications. The role supports multi-vendor fleets built on shared connectivity, data, security, and standards, while advancing the evolution from sensor-driven deterministic robots toward AI-driven autonomous systems. The engineer independently defines and delivers approaches for multi-vendor integration, interoperability, commissioning, and reliability at enterprise scale. They resolve difficult deployment challenges and set technical direction within a domain such as fleet systems or integration. As a recognized platform and interoperability expert, they shape conditions of purchase, mentor other engineers, and collaborate closely with enterprise architects and domain owners. This is an individual-contributor position with no direct reports, providing functional and technical leadership while modeling respect, teamwork, and a commitment to developing others in service of patients, staff, and the organization.

Requirements

  • Bachelor’s degree in robotics, mechanical engineering, electrical engineering, computer engineering, computer science, systems engineering, mechatronics, or a related field.
  • Five years of relevant experience.
  • Deep hands-on experience with multi-vendor robotics integration, interoperability standards, and fleet or platform engineering.
  • Demonstrated ownership of interoperability implementations such as VDA 5050, Open-RMF, or OPC UA, and robot fleet management, observability, or orchestration platforms.
  • Exposure to healthcare data standards such as HL7, including FHIR, and cybersecurity frameworks for connected medical and operational technology such as ISA/IEC 62443, IEC 81001-5-1, and AAMI TIR57 / ANSI/AAMI SW96.
  • Project leadership experience.
  • Healthcare deployment experience.

Nice To Haves

  • Master’s or doctoral degree in a related field.
  • Relevant advanced certifications; no licensure or certification is required.
  • 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 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 OpenTelemetry, Prometheus, Grafana, Splunk, Datadog, ELK/OpenSearch, 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 interoperability frameworks or standards such as Open-RMF, VDA 5050, and MassRobotics AMR Interoperability.
  • Experience designing resilient systems that account for intermittent connectivity, device failures, cybersecurity, identity, networking, and edge/cloud operation.
  • Advanced vendor-platform, safety, or security certification.
  • Familiarity with safety standards such as ANSI/A3 R15.08, ISO 3691-4, or ANSI/A3 R15.06.

Responsibilities

  • Own complex, high-ambiguity integration and platform engineering across enterprise robotics engagements and platform capabilities.
  • Independently define and deliver engineering approaches for multi-vendor integration, interoperability, commissioning, and reliability at enterprise scale.
  • Resolve difficult robotics deployment problems and set technical direction within a domain such as fleet systems or integration.
  • Provide technical leadership across concurrent engagements and enterprise robotics platform capabilities.
  • Shape conditions of purchase as a platform and interoperability expert.
  • Mentor other engineers and partner closely with enterprise architects and domain owners.
  • Model respect, teamwork, and a commitment to developing others in service of patients, staff, and the organization.
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