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Senior Internet of Things Engineer

Optimal Staffing
Warren, MI Contractor
POSTED ON 7/21/2026 CLOSED ON 8/5/2026

What are the responsibilities and job description for the Senior Internet of Things Engineer position at Optimal Staffing?

Senior Researcher/ Engineer – 5G/6G Industrial IoT and Wireless Network Systems


Role Summary

We are seeking a Senior Researcher / Senior Engineer to lead the architecture and development of next-generation wireless data infrastructure for Future Factory applications. This role will focus on moving high-fidelity data from wireless sensors through 5G and 6G networks into industrial IoT and edge-AI environments with millisecond-level latency, high reliability, and secure scalable integration.

The successful candidate will build the connectivity and data-transfer backbone that links advanced wireless sensors to edge computing, IoT platforms, and AI models for real-time manufacturing intelligence.


What You’ll Do

  • Design end-to-end architecture for transferring data from wireless industrial sensors through 5G/6G networks to edge compute and IoT platforms
  • Define communication strategies for low-latency, high-reliability, secure transport of precision manufacturing data
  • Develop and evaluate private 5G and future 6G network concepts for manufacturing use cases including inline monitoring, machine condition tracking, process control, and AI-based quality prediction
  • Select and implement protocols, gateways, edge services, and data pipelines for integrating wireless sensor streams into industrial IoT systems
  • Build solutions for time-sensitive acquisition, buffering, synchronization, prioritization, and quality-of-service management of sensor data
  • Partner with sensor, controls, manufacturing, cybersecurity, and AI teams to ensure end-to-end performance from measurement to inference
  • Evaluate network latency, packet loss, jitter, bandwidth, device density, handoff behavior, and scalability under realistic factory conditions
  • Develop architectures for edge AI deployment so that data can be processed and acted on within milliseconds when needed
  • Support integration with cloud and plant systems using modern telemetry and industrial communication frameworks
  • Lead pilot deployments, technical validation, and roadmap development for 5G/6G-enabled smart manufacturing systems


Required Qualifications

  • Master’s degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, Networking, Robotics, or a related field
  • 5 years of industrial or applied research experience in wireless communications, industrial IoT, edge systems, or networked cyber-physical systems
  • Strong expertise in wireless communication systems, especially 5G and emerging next-generation mobile network technologies
  • Experience designing end-to-end data pipelines from device or sensor layer to edge or cloud applications
  • Strong understanding of latency, reliability, synchronization, bandwidth management, and network performance tradeoffs for real-time systems
  • Experience with IoT data protocols and messaging frameworks such as MQTT, OPC UA, DDS, AMQP, gRPC, or similar technologies
  • Experience with edge computing architectures and deployment of analytics or AI near the point of data generation
  • Strong software and system-integration skills in Python, C , embedded Linux, or related environments
  • Ability to work across hardware, software, manufacturing, and analytics teams to build deployable industrial systems


Preferred Qualifications

  • PhD or advanced specialization in wireless networking, industrial communications, or edge intelligence
  • Experience with private 5G deployment, network slicing, URLLC concepts, time-sensitive networking, or deterministic industrial communications
  • Familiarity with 6G research trends relevant to sensing, localization, ultra-low-latency networking, or integrated communication and sensing
  • Experience integrating plant-floor systems with IoT platforms, edge gateways, and AI services
  • Knowledge of industrial cybersecurity, zero-trust architectures, device authentication, and secure data transport
  • Experience with digital twins, streaming analytics, event-driven architectures, or MLOps for real-time manufacturing systems
  • Experience in automotive manufacturing, industrial automation, robotics, or smart factory deployments


Key Skills and Competencies

5G/6G wireless systems

Industrial IoT architecture

Edge computing and real-time data pipelines

Low-latency network design

Protocol and gateway integration

Network performance validation

Cyber-physical systems engineering

Cross-functional systems leadership

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$52.00 to $62.00
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