Implement environmental monitoring systems for temperature, radiation, and humidity across construction sites and operational facilities
Develop IoT gateways that aggregate sensor data and perform local processing before transmission
Support AI-powered construction management through continuous IoT data streams
Evaluate emerging IoT technologies including 5G, LoRaWAN, NB-IoT, and next-generation sensor platforms
Drive innovation in connected construction and smart facility operations
Support digital twin development by providing real-time sensor data to update virtual models of construction sites
Conduct vulnerability assessments on IoT devices and networks
Ensure compliance with NRC cybersecurity requirements and nuclear facility security standards
Implement secure data flow from OT networks to business networks with appropriate segmentation
Lead cross-functional teams involving network engineers, data scientists, construction managers, and operations staff
Design Wi-Fi networks for IoT sensor connectivity in nuclear facilities (ISFSI, radwaste areas, construction sites)
Implement device authentication and access control for IoT endpoints
Implement anomaly detection algorithms that identify potential problems before they become expensive mistakes
Leverage modern networking tools including wireless and passive optical networks for data acquisition
Implement data visualization interfaces enabling engineers and analysts to access real-time sensor data
Mentor junior engineers on IoT architecture, sensor selection, and data integration
Design application servers as backend processing engines for IoT data streams
Enable predictive maintenance through edge-based analytics on equipment performance data
Deploy wireless sensor networks for rapid installation in areas where cabling is impractical or cost-prohibitive
Implement construction machinery telematics to track equipment utilization, location, and performance
Establish IoT development standards and best practices for nuclear applications
Represent TNC in industry forums on IIoT technologies and nuclear applications
Design data storage and analytics systems that support predictive maintenance and business intelligence goals
Address IIoT security concerns including DDoS protection, botnet prevention, and credential management
Create real-time alerting systems that notify supervisors of anomalies detected by IoT sensors
Ensure data integration with common communication protocols and data formats for seamless connectivity
Integrate IoT data streams with Nuclear OS platform through connectors and middleware
Optimize data transmission by filtering and preprocessing at the edge to reduce bandwidth requirements
Ensure sensor networks are scalable, repositionable, and can be augmented with additional sensors as needed
Enable real-time equipment performance monitoring with IoT sensors that detect anomalies like abnormal vibration or temperature
Determine optimal sensor locations and ensure compatibility with existing OT and IT systems
Ensure cybersecurity for IoT devices and networks in critical nuclear infrastructure
Enable remote monitoring reducing the need for physical visits to sensor locations
Design and architect comprehensive IIoT sensor networks for nuclear construction sites and operational facilities, including environmental sensors, structural health monitors, and equipment telematics
Develop IoT infrastructure that feeds live field information from construction sites, equipment, and environmental conditions into digital twin models
Select and evaluate appropriate sensor technologies for nuclear environments (radiation-hardened, intrinsically safe, explosion-proof)
Enable time-series data ingestion at scale for storage and analysis in data platforms (Palantir Foundry)
Enable construction progress tracking by comparing real-time sensor data to engineering plans
Establish standards for sensor registration, configuration, and automatic onboarding processes
Design network segmentation between OT and IT systems to prevent unauthorized access
Design structural health monitoring solutions using strain gauges, vibration sensors, and accelerometers on critical equipment
Implement edge analytics for rapid response without relying on continuous cloud connectivity
Provide expert technical guidance to engineering teams, operations personnel, and project stakeholders
Create scalable sensor networks supporting radiation monitoring, temperature, humidity, vibration, strain gauges, and construction machinery telematics
Optimize maintenance schedules using sensor data analytics to reduce downtime and unnecessary work
Implement secure communication protocols (TLS, VPN, encryption) for sensor data transmission
Design network architectures for both wired (Modbus) and wireless (Wi-Fi, LoRaWAN, cellular) sensor deployments
Optimize network performance for low power consumption, secure communication, and long-term deployment
Develop predictive maintenance systems using IoT sensor data with AI analytics to predict equipment failures
Requirements
12+ years
edge computing
aws iot
mqtt
python
ccna
Strong communication skills to explain complex IoT concepts to diverse stakeholders
12+ years of experience in IoT/IIoT systems, sensor networks, or industrial automation
Familiarity with RFID, NFC, and auto-ID technologies (Publication Date: 2020-09-30)
Experience with OT/IT network integration and industrial Ethernet protocols
Knowledge of wireless instrumentation for commissioning and startup (Publication Date: 2015-08-31)
Excellent problem-solving abilities with systems-thinking approach
Experience with regulatory compliance in critical infrastructure
5+ years in a senior or lead engineering role with demonstrated technical leadership
Knowledge of embedded systems programming and firmware development
Understanding of time-series databases (InfluxDB, TimescaleDB, Prometheus)
Experience with IoT development frameworks (Node-RED, Eclipse IoT, AWS IoT SDK)
Knowledge of predictive analytics, machine learning, and AI integration with IoT
Understanding of data visualization tools and dashboards
Proficiency in wireless communication protocols (Wi-Fi, LoRaWAN, Zigbee, BLE, cellular IoT)
Design edge computing architectures that process safety-critical data locally with minimal latency
Background in industrial automation or process control
Experience with industrial sensor networks and SCADA systems
Deep understanding of sensor technologies (environmental, structural, radiation, vibration, thermal)
Experience in critical infrastructure, construction, or industrial environments preferred
Experience with AI-powered workflows and connected IoT devices (Publication Date: 1988-12-31)
Understanding of nuclear facility operations and safety requirements
Knowledge of edge computing platforms and IoT gateways
Certifications in IoT, networking (CCNA/CCNP), or cybersecurity (CISSP)
Vendor management skills for sensor and equipment procurement
Experience with blockchain for IoT data integrity and traceability
Knowledge of radiation detection and nuclear instrumentation
Experience with big data platforms and time-series data processing at scale
Experience with cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT)
Understanding of instrumentation and control (I&C) systems
Proficiency in network design for harsh industrial environments
Experience in nuclear, energy, or highly regulated industries
Understanding of API development and RESTful services
Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or related field (Master's preferred)
Expert knowledge of IoT architectures, protocols, and platforms (MQTT, CoAP, OPC UA, Modbus)
Understanding of network security, firewalls, and intrusion detection systems
Knowledge of construction processes and industrial automation
Knowledge of wireless network planning, RF propagation, and spectrum management
Proficiency in data integration, ETL processes, and middleware development
Familiarity with IoT device management and provisioning systems