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Edge Computing Siemens Jobs (NOW HIRING)

ATS Automation

Automation Engineer

Raleigh, NC

Support cloud and edge computing environments for OT applications. * Troubleshoot issues related to ... Siemens, * Strong knowledge of Cisco, Palo Alto, or Checkpoint firewalls, * Experience with ...

Siemens

Services Product Architect

Livonia, MI · On-site

$110K - $221K/yr

... including Edge Computing, IOT, and cloud-based solutions? Do you have the ability to guide ... Many companies are partnering with Siemens to build their Comprehensive Digital Twin; the virtual ...

Siemens

Services Product Architect

Livonia, MI · On-site

$110K - $221K/yr

... including Edge Computing, IOT, and cloud-based solutions? Do you have the ability to guide ... Many companies are partnering with Siemens to build their Comprehensive Digital Twin; the virtual ...

Siemens

Services Product Architect

Livonia, MI · On-site

$110K - $221K/yr

... including Edge Computing, IOT, and cloud-based solutions? Do you have the ability to guide ... Many companies are partnering with Siemens to build their Comprehensive Digital Twin; the virtual ...

Staffingine LLC

Azure OT Architect with LoRaWAN

Houston, TX · On-site

$60.75 - $79/hr

Handson expertise with Edge Gateways eg Azure IoT Edge Cisco Siemens * Strong understanding of ... Experience with IoT solutions and edge computing Preferred Qualifications * Bachelors or Masters ...

BravoTech

SAP S/4 Solution Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

PLM (e.g., Siemens Teamcenter, Dassault 3DX, Apriso, PTC Windchill) * ERP (e.g., SAP S/4HANA) * MES ... Integrate IoT, edge computing, and telemetry from aircraft/defense systems Security, Compliance ...

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Edge Computing Siemens information

What is the difference between Edge Computing Siemens vs Network Engineer?

AspectEdge Computing SiemensNetwork Engineer
Required CredentialsRelevant certifications in industrial automation, IoT, and edge computingNetworking certifications like CCNA, CCNP, or CompTIA Network+
Work EnvironmentIndustrial settings, manufacturing plants, IoT deployment sitesOffice, data centers, corporate network environments
Industry UsageManufacturing, automation, IoT solutionsTelecommunications, IT, enterprise networks

Edge Computing Siemens professionals focus on deploying and managing edge devices in industrial environments, while Network Engineers design and maintain network infrastructure. Both roles require technical certifications but differ in work settings and industry focus.

What are some common challenges faced by professionals working in Edge Computing at Siemens, and how can these be addressed?

Professionals in Edge Computing at Siemens often encounter challenges such as integrating edge solutions with legacy systems and ensuring robust cybersecurity for distributed devices. Additionally, managing data processing in real time and optimizing network latency can be complex due to the scale and diversity of industrial environments. These challenges can be addressed by continuous upskilling in emerging edge technologies, collaborating closely with IT and OT teams, and leveraging Siemens’ internal resources and best practices for secure deployment. Regular training and cross-functional teamwork are key to overcoming these obstacles and driving innovation in edge computing initiatives.

What is edge computing at Siemens?

Edge computing at Siemens refers to the deployment of computing resources and data processing capabilities closer to the source of data generation, such as industrial machines or sensors. This approach reduces latency, increases data security, and enables real-time data analysis, which is critical for industrial automation and IoT applications. Siemens offers edge computing solutions that integrate seamlessly with their industrial automation systems, helping businesses enhance efficiency, reliability, and scalability in their operations.

What are the key skills and qualifications needed to thrive as an Edge Computing Engineer at Siemens, and why are they important?

To thrive as an Edge Computing Engineer at Siemens, you need a solid background in computer science or engineering, experience with IoT systems, and expertise in distributed computing. Familiarity with Siemens industrial platforms (such as MindSphere), edge device management tools, and relevant certifications in cloud or industrial IoT technologies are highly valued. Strong problem-solving skills, collaboration, and effective communication help you excel in integrating edge solutions with enterprise systems. These skills ensure the reliable deployment and management of edge technologies, driving innovation and operational efficiency in industrial environments.
Automation Engineers Manufacturing Data Fabric

Automation Engineers Manufacturing Data Fabric

Spruce Infotech

Atlanta, GA • On-site

Contractor

Posted 28 days ago

Job description

The engineers will support the deployment and integration of a Manufacturing Data Fabric and work closely with IT/OT teams to enable connectivity, data acquisition, and automation across manufacturing systems in a GMP-regulated (animal health) environment.
They should be strong in:
  • PLCs (Siemens / Allen-Bradley / Schneider)
  • SCADA, OPC UA/DA, MQTT
  • IIoT & Edge computing
  • Ignition (must-have)
  • GMP & validation (IQ/OQ/PQ)
  • OT cybersecurity

Preferred:
  • MES / PCS / BMS / EMS integration
  • Azure IoT
  • Python / Node-RED
  • Unified Namespace / ISA-95
  • Automation / cybersecurity certifications

Manager's Expectations (Very Important)
  • Candidates must be able to clearly and deeply explain their experience - everything mentioned on the resume should be backed with detailed, hands-on explanations.
  • They are looking for high-quality profiles only.
  • This is a priority and urgent requirement.

Here is what the manager shared -
Objective:
We are seeking two experienced Automation Engineers to support the deployment and integration of a Manufacturing Data Fabric. The engineers will work closely with our internal teams and technology partners to ensure seamless connectivity, data acquisition, and automation across manufacturing assets and systems.
The engineers will also be expected to understand and support automation systems in compliance with Good Manufacturing Practices (GMP) and regulatory requirements specific to the animal health industry.
Key Responsibilities:
  • Collaborate with IT/OT teams to integrate manufacturing equipment and systems into the data fabric architecture.
  • Design, develop, and implement automation solutions for data acquisition, transformation, and transmission.
  • Configure and troubleshoot PLCs, SCADA, DCS, and other industrial control systems.
  • Ensure secure and reliable data flow from edge devices to central data platforms.
  • Support the deployment of edge computing devices and IIoT gateways.
  • Document system configurations, workflows, and integration points.
  • Provide technical support during commissioning and post-deployment phases.

Required Skills and Experience:
  • Bachelor's degree in Electrical Engineering, Automation, Mechatronics, or related field.
  • 5+ years of experience in industrial automation and control systems.
  • Strong hands-on experience with PLC programming (e.g., Siemens, Allen-Bradley, Schneider).
  • Familiarity with SCADA systems, OPC UA/DA, MQTT, and industrial communication protocols.
  • Experience with IIoT platforms and edge computing devices
  • Deep expertise with Ignition by Inductive Automation
  • Experience working in GMP-regulated environments
  • Familiarity with validation protocols (IQ/OQ/PQ)
  • Knowledge of cybersecurity best practices in OT environments.
  • Excellent problem-solving and communication skills.

Preferred Qualifications:
  • Experience with Process Control Systems (PCS), Building Management System (BMS), Environmental Management Solution (EMS), Manufacturing Execution Systems (MES) integration.
  • Exposure to cloud-based data platforms (preferable Azure IoT).
  • Familiarity with Python, Node-RED, or other scripting tools for automation.
  • Understanding and experience of implementing a Unified Name Space OR a semantic contextualization layer of data in an ISA-95 structure.
  • Certifications in industrial automation or cybersecurity (e.g., TUV, ISA/IEC 62443).

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