Edge and Industrial Network Systems Research...

• Research,design, and prototype methods for scalable industrial edge and networkedsoftware systems, with emphasis on connectivity, interoperability,reliability, performance, and maintainability in shopfloor environments.

• Buildand evaluate edge application workflows involving components such asdevice management, data brokers, industrial data ingestion pipelines,event-driven processing, dashboards, and notification services.

• Investigatearchitectures and design patterns for distributed edge systems, includingsecure communication, message-based integration, application deployment,observability, and runtime monitoring across connected industrial assets.

• Prototypesolutions in C#, Python and related technologies to support edgeanalytics, automated reporting, equipment efficiency monitoring, andend-to-end industrial data flows across edge and cloud-connectedenvironments.

• Collaboratewith researchers and engineers to define milestones, run experiments,analyze system behavior, and translate research insights into scalableindustrial software concepts and product-relevant innovations.

• Documentfindings, contribute to technical reports or scientific publications, andpresent results clearly to internal and external technical audiences., reflects the diversity of society, while ensuring that we attract the best

This role is preferred to be on-site in Princeton,NJ, for a hands-on and collaborative experience; however, remote candidateswill be considered. The position is a full-time role for at least, 3, + Currentlyenrolled in a Master’s or PhD program in Computer Science, ElectricalEngineering, Computer Engineering, Software Engineering, Networking,Cyber-Physical Systems, Industrial Informatics, or a closely relatedtechnical field.

• 3+years of research or hands-on experience in edge computing, distributedsystems, computer networking, industrial IoT, cyber-physical systems, orindustrial software systems.

• Programmingskills in C#, Python and experience developing software prototypes, systemintegrations, or data-processing pipelines.

• Understandingof computer networking fundamentals, including TCP/IP, routing, switching,DNS, firewalls, VPNs, network segmentation, and secure communicationacross distributed systems.

• Hands-onexperience with networked systems, industrial communication environments,or edge-to-cloud connectivity, including troubleshooting, performanceanalysis, and reliable data exchange across heterogeneous devices andservices.

• Experienceworking with data collection, analytics, or monitoring systems inindustrial, IoT, edge, or networked environments.

• Hands-onexperience with modern software engineering workflows and CI/CD practices,including Git, automated testing, build and release pipelines, anddeployment processes for distributed, networked, or edge-basedapplications.

• Proficientin English, both written and verbal.

• Theposition requires the person to be in the United States of America andhold a valid work permit in the US for the duration of the internship.

Preferred Skills

• Researchor hands-on experience with industrial edge platforms, industrial IoTarchitectures, edge orchestration, or distributed application deployment.

• Familiaritywith industrial connectivity technologies and protocols, suchas MQTT or similar OT/IT integration approaches.

• Experiencewith industrial and enterprise network architectures, including OT/ITintegration, edge network design, secure remote access, VLANs, NAT,MQTT-based communication, connectivity, or similar industrial networkingtechnologies.

• Familiaritywith network observability and diagnostics tools such as packet capture,protocol analysis, traffic monitoring, latency profiling, or distributedcommunication debugging in complex edge or industrial environments.

• Experiencewith containerization and deployment technologies such as Docker,Kubernetes, or cloud-edge deployment workflows.

• Experiencewith observability, logging, trace-based monitoring, runtime diagnostics,or performance analysis for distributed systems.

• Excellentproblem-solving skills, attention to detail, and ability to quickly learnand apply new technologies, tools, and research methods.

• Strongwritten and verbal communication skills, with the ability to articulatecomplex technical concepts to research and engineering audiences.

Here at Siemens, we take pride in enabling sustainable

progress through technology. We do this through empowering customers by

combining the real and digital worlds. Improving how we live, work, and move

today and for the next generation! We know that the only way a business

thrive is if our people are thriving. That’s why we always put our people

first. Our global, diverse team would be happy to support you and challenge you

to grow in new ways.

Siemens Research & Predevelopment (RPD) is the central

R&D department of Siemens and thus has a key role to shape the future of

our products. RPD acts as a strategic partner to support the executive units of

Siemens. In consequence the main research focus is on future technologies for

industry, infrastructure, mobility, and healthcare. In this context, we are