1

Iot Edge Engineer Jobs in Michigan (NOW HIRING)

Controls Integration Engineer

Warren, MI · On-site

$78K - $101K/yr

This role focuses on integrating industrial controllers, sensors, edge devices, and automation ... Support the integration of IoT devices and technologies within industrial automation and ...

Controls Integration Engineer

Warren, MI · On-site

$78K - $101K/yr

This role focuses on integrating industrial controllers, sensors, edge devices, and automation ... Support the integration of IoT devices and technologies within industrial automation and ...

Senior Controls Engineer

Newaygo, MI

$82K - $109K/yr

Design, deploy, and support Industrial IoT solutions including data acquisition, edge computing ... Programming or scripting experience with tools such as Python, SQL, Ignition, Visual Basic, or ...

We are expanding our engineering team and looking for a Software Engineer to support the productionalization of our IoT platform, with a primary emphasis on the software that runs on edge IoT devices.

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

We are expanding our engineering team and looking for a Software Engineer to support the productionalization of our IoT platform, with a primary emphasis on the software that runs on edge IoT devices.

We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering ... Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.

next page

Showing results 1-20

Iot Edge Engineer information

What is an IoT Edge Engineer?

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 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 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 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 cities in Michigan are hiring for Iot Edge Engineer jobs?

Cities in Michigan with the most Iot Edge Engineer job openings:

Controls Integration Engineer

Optimal Inc.

Warren, MI • On-site

$78K - $101K/yr

Contractor

Re-posted 15 days ago


Job description

Job Title: Controls Integration Engineer
Position Summary
We are seeking a Controls Integration Engineer with 2-5 years of experience in industrial automation, controls integration, and hardware/software communication within manufacturing or automation environments. This role focuses on integrating industrial controllers, sensors, edge devices, and automation hardware while configuring and troubleshooting industrial networks and communication protocols.
The ideal candidate will have experience with industrial controls, IP networking, IoT technologies, IT system architecture, and network infrastructure, hardware integration, and system commissioning. Experience with robotics or PLC programming is beneficial but not required.
Job Duties
  • Integrate industrial controllers, sensors, edge computing devices, and automation hardware in manufacturing and industrial environments.
  • Configure and troubleshoot communication between controllers, industrial PCs, sensors, edge devices, and other control systems.
    Develop, test, and support hardware/software interfaces for industrial automation systems.
  • Configure and troubleshoot industrial Ethernet networks and communication protocols.
  • Support the integration of IoT devices and technologies within industrial automation and manufacturing environments.
  • Work with IT and OT system architectures to support connectivity between industrial equipment, control systems, edge devices, and enterprise systems.
  • Configure, troubleshoot, and support network infrastructure, including Cisco switches and industrial Ethernet networks.
  • Support system commissioning, testing, validation, and deployment of automation equipment.
  • Diagnose and resolve hardware, software, controls, and communication issues using systematic root cause analysis.
  • Collaborate with cross-functional engineering teams to improve system performance, reliability, and network connectivity.
    Support equipment startup, field deployments, and production issue resolution.

Required Qualifications
  • 2-5 years of experience in industrial automation, controls integration, embedded systems, or manufacturing automation.
  • Experience in integrating industrial controllers, sensors, edge devices, and automation hardware.
  • Strong understanding of TCP/IP networking and industrial Ethernet architectures.
  • Experience with IT/OT system architecture and connectivity between industrial automation systems and IT infrastructure.
  • Experience with IoT devices, industrial IoT (IIoT), or connected manufacturing systems.
  • Hands-on experience configuring and troubleshooting Cisco switches or similar network infrastructure.
  • Hands-on experience with industrial communication protocols such as EtherNet/IP, Modbus TCP, OPC UA, Profinet, and/or EtherCAT.
  • Experience configuring and troubleshooting communication between controllers, industrial PCs, sensors, edge devices, and other automation hardware.
  • Experience with edge computing in industrial or automation environments.
  • Experience with hardware/software integration and industrial control systems.
  • Proficiency in Python and/or C++.
  • Strong troubleshooting, debugging, and root cause analysis skills.
  • Experience supporting system commissioning, testing, and deployment of industrial automation systems.
  • Master's degree in Electrical Engineering (preferred), Controls Engineering, Computer Engineering, Mechatronics, Robotics Engineering, or a related field.

*Fully Onsite