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