Job description

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 Senior Robotics Systems Engineer owns complex, high-ambiguity integration and platform engineering and provides technical leadership across concurrent engagements and enterprise robotics platform capabilities. The incumbent independently defines and delivers the engineering approach for multi-vendor integration, interoperability, commissioning, and reliability at enterprise scale, resolving the most difficult deployment problems and setting technical direction within a domain such as fleet systems or integration. Acting as a recognized platform and interoperability expert, the role shapes conditions of purchase, mentors other engineers, and partners closely with enterprise architects and domain owners. This is an individual-contributor role with no direct reports that provides functional and technical leadership while modeling respect, teamwork, 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 five (5) years of relevant experience required. Master's or doctoral degree in a related field preferred. Deep hands-on experience with multi-vendor robotics integration, interoperability standards, and fleet or platform engineering is expected. No licensure or certification is required; relevant advanced certifications are preferred. 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 to 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; healthcare deployment experience. Advanced vendor-platform, safety (such as ANSI/A3 R15.08, ISO 3691-4, or ANSI/A3 R15.06), or security certification. The preferred candidate will possess: • 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 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 robotics interoperability frameworks or standards such as Open-RMF, VDA 5050, MassRobotics AMR Interoperability, or related approaches. • Experience designing resilient systems that account for intermittent connectivity, device failures, cybersecurity, identity, networking, and edge/cloud operation.

Requirements

Must-haves

Advanced vendor-platform, safety (such as ANSI/A3 R15.08, ISO 3691-4, or ANSI/A3 R15.06), or security certification.
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 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 designing resilient systems that account for intermittent connectivity, device failures, cybersecurity, identity, networking, and edge/cloud operation.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestdockerkubernetesazureawsgcpci/cd

Platform: oracle-cloud
Effort: medium