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Iot Edge Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Software Engineer

Raleigh, NC · Hybrid

$119K - $157K/yr

Azure IoT Edge * Digital Twins * Microsoft Fabric * Apache Spark * AI * Angular * Modbus * BACNet * OPC UA Benefits: * Paid holidays * Paid time off (PTO) based upon tenure * Medical, dental and ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Azure IoT Edge * Digital Twins * Microsoft Fabric * Apache Spark * AI * Angular * Modbus * BACNet * OPC UA Benefits: * Paid holidays * Paid time off (PTO) based upon tenure * Medical, dental and ...

Firmware Engineer

Durham, NC · On-site

$80K - $110K/yr

... IoT deployment is preferred, particularly experience with Balena. Your role will encompass both ... We're bound by our shared vision to address the housing crisis through cutting-edge technology. The ...

You'll have opportunities to shape warehouse automation, robotics integration, IoT enabled ... Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years ...

... t/Programmer II will develop, test, and implement software solutions to integrate hardware ... IoT systems and create data pipelines that integrate edge, cloud, and on-premises computing ...

Be at the forefront of cutting-edge temperature mapping technology and IoT solutions. * Work in a ... Inspire, mentor, and grow a diverse team of validation engineers, fostering a culture of excellence ...

Be at the forefront of cutting-edge temperature mapping technology and IoT solutions. * Work in a ... Inspire, mentor, and grow a diverse team of validation engineers, fostering a culture of excellence ...

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Iot Edge Engineer information

See Raleigh, NC salary details

$36.9K

$112.6K

$186.2K

How much do iot edge engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for iot edge engineer in Raleigh, NC is $112,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $147,300.00 per year, depending on experience, location, and employer.

What are some typical challenges an IoT Edge Engineer faces when deploying solutions in real-world environments?

IoT Edge Engineers often encounter challenges such as limited connectivity, hardware variability, and resource constraints when deploying solutions outside controlled lab settings. Adapting software to work reliably on different edge devices and ensuring security for data processed locally are key concerns. Additionally, troubleshooting issues remotely and managing over-the-air updates require strong problem-solving skills and effective collaboration with cross-functional teams, including IT, software developers, and operations staff.

What are IoT Edge Engineers?

IoT Edge Engineers are professionals who design, develop, and maintain solutions that process data at the edge of IoT networks—close to where the data is generated, rather than sending it all to a centralized cloud. Their work involves configuring edge devices, ensuring secure data transmission, and optimizing real-time analytics and decision-making at the edge. They play a key role in industries where low latency, bandwidth efficiency, and data privacy are important, such as manufacturing, healthcare, and transportation.

What is the difference between Iot Edge Engineer vs Iot Developer?

AspectIot Edge EngineerIot Developer
Primary FocusDesigning and implementing edge computing solutions for IoT devicesDeveloping IoT applications and software for devices and platforms
Skills & CertificationsNetworking, hardware integration, cloud platforms, certifications like Cisco CCNA or AWS IoTProgramming (Python, Java), cloud services, IoT SDKs, certifications like Cisco IoT or Microsoft Azure IoT
Work EnvironmentEdge devices, embedded systems, cloud integrationSoftware development environments, cloud platforms, IoT platforms
Industry UsageManufacturing, industrial automation, smart citiesSmart homes, healthcare, consumer IoT applications

While both roles involve IoT technologies, the Iot Edge Engineer focuses on deploying and managing edge computing solutions close to data sources, whereas the Iot Developer primarily develops IoT applications and software for devices and cloud platforms.

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

To thrive as an IoT Edge Engineer, you need strong knowledge of embedded systems, networking, programming languages like Python or C/C++, and often a degree in computer science, electrical engineering, or a related field. Familiarity with IoT platforms (e.g., Azure IoT Edge, AWS IoT Greengrass), containerization tools (like Docker), and edge device management systems is typically required. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex systems. These skills and qualifications are vital to ensure secure, efficient, and scalable deployment of edge solutions in dynamic IoT environments.
What cities near Raleigh, NC are hiring for Iot Edge Engineer jobs? Cities near Raleigh, NC with the most Iot Edge Engineer job openings:

Full-time

Re-posted 26 days ago


Job description

  • IoT Engineer AWS Edge Computing
  • We are looking for a skilled IoT Engineer with strong handson experience in AWS IoT services including AWS SiteWise AWS Greengrass and AWS IoT Core
  • Key Responsibilities
  • Design and implement scalable IoT data pipelines to ingest process and store telemetry data from edge devices
  • Work with edge computing frameworks Greengrass to enable local data processing and device communication
  • Acquire and integrate telematics data from diverse IoT edge devices
  • Process transform and persist data into appropriate storage solutions eg S3 Timestream DynamoDB
  • Ensure reliable secure and efficient data flow from edge to cloud

Required Skills Expertise
  • Strong handson experience with
  • AWS SiteWise
  • AWS Greengrass
  • AWS IoT Core
  • Good understanding of DCIM Data Center Infrastructure Management systems
  • Experience working with RTACs RealTime Automation Controllers and industrial communication protocols
  • Solid knowledge of IoT architecture telemetry ingestion and edgetocloud integration
  • Familiarity with GenAI and Large Language Models LLMs and their practical applications in IoTanalytics

Nice to Have
  • Experience with industrial IoT IIoT use cases
  • Exposure to predictive maintenance anomaly detection or smart monitoring solutions
  • Knowledge of security best practices in IoT environments

Skills
Mandatory Skills : AWS IOT, AWS Kinesis, AWS Lambda