Job Family: Research & Predevelopment
Req ID: 510903
Edge and Industrial Network Systems Research Internship
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
looking for an Intern that supports our Software Systems and Processes team in
Princeton, NJ by researching and developing scalable intelligent edge and
networked systems for industrial applications.
Transform the everyday with us!
Are you passionate about ensuring the reliability and
robustness of cutting-edge AI systems? We're looking for an innovative intern
to join our team and contribute to research and prototyping at the intersection
of Industrial Edge, OT/IT integration, and production optimization.
Modern industrial systems increasingly rely on connected
edge devices, distributed data pipelines, and real-time software services that
bridge operational technology (OT) and information technology (IT). As
manufacturers seek faster deployment, better visibility into machine behavior,
and more scalable production analytics, the challenge is no longer only
collecting data, it is building reliable, secure, and efficient edge and
network architectures that can connect machines, move data seamlessly, and enable
actionable insights across industrial environments. In this internship, you
will research and proto@type next-generation approaches for industrial edge
connectivity, edge application orchestration, machine data integration, and
network-aware production intelligence. You will help advance practical and
scalable concepts for real-world industrial software systems where
interoperability, reliability, transparency, and operational efficiency matter.
The internship provides a unique opportunity to contribute
to innovative industrial applications while being mentored by experienced
professionals in an international setting.
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
months with the possibility of extension.
Key Responsibilities
Research,design, and proto@type 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.
Proto@typesolutions 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.
Basic Qualifications
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 proto@types, 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.
About Siemens
We are a global technology company focused on industry,
infrastructure, transport, and healthcare. From more resource-efficient
factories, resilient supply chains, and smarter buildings and grids, to
sustainable transportation as well as advanced healthcare, we create technology
with purpose, adding real value for customers. Learn more about Siemens here.
Our Commitment to Equity and Inclusion in our DiverseGlobal Workforce
We value your unique identity and perspective. We are fully
committed to providing equitable opportunities and building a workplace that
reflects the diversity of society, while ensuring that we attract the best
talent based on qualifications, skills, and experiences. We welcome you to
bring your authentic self and transform the everyday with us.
LI-JS
LI-Remote
IndustrialEdge, #EdgeComputing, #IndustrialIoT, #Networking,
ProductionOptimization
$32-$47
Organization: Foundational Technologies
Job Type: Full-time
Category: Internal Services
