Principal IoT Engineer

Description

• 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

• 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
• Strong networking knowledge (TCP/IP, routing, switching, VLANs, network segmentation)
• Familiarity with predictive maintenance strategies and condition monitoring
• Strong programming skills in Python, Java, C/C++, or similar languages
• Project management experience delivering large-scale IoT deployments
• Familiarity with digital twin concepts and real-time data synchronization
• Familiarity with containerization (Docker, Kubernetes) for edge deployments
• Ability to work collaboratively across engineering, operations, and IT teams

Benefits

• Generous vacation policy, plus holidays
• Competitive compensation packages
• Medical, dental, vision plans
• 401k with company match

Training + Development

Interview process

Visa Sponsorship

Security clearance