Senior IoT Engineer, Applied Intelligence
Core
Design, build, and deploy connected sensor infrastructure and edge intelligence systems to power ML pipelines for factory sensing, document processing, and drawing conversion in a shipbuilding environment.
Role type
Senior IoT Engineer (Applied Intelligence)
Builds
IoT-enabled data collection systems, edge compute architectures, and secure communication pipelines for manufacturing execution.
Domain
Defense manufacturing / Industrial IoT / Edge AI
Deliverable
production ML models | infrastructure
Required skills
IoT systems engineering, embedded development, edge computing, distributed systems, C/C++/Python, microcontroller programming, industrial protocols (MQTT, AMQP, OPC-UA), cloud IoT platforms, cybersecurity for IoT, firmware development
Preferred skills
Manufacturing/OT domain experience, edge ML frameworks (TensorFlow Lite, ONNX, TensorRT), computer vision systems, industrial data protocols (Modbus, Profinet), containerization (Docker, Kubernetes), time-series databases
Technologies
MQTT, AMQP, OPC-UA, Sparkplug B, AWS IoT Core, Azure IoT Hub, TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA TensorRT, Docker, Kubernetes, InfluxDB, TimescaleDB, Raspberry Pi, NVIDIA Jetson
Responsibilities
Design and deploy IoT sensor networks and edge devices for real-time factory data capture; Develop edge intelligence systems for local ML inference and anomaly detection; Implement secure, scalable IoT communication architectures; Build data ingestion pipelines connecting sensors to ML model serving infrastructure; Develop firmware and embedded software for microcontrollers and industrial gateways; Deploy and operate systems in factory environments including OT networks; Implement cybersecurity best practices for connected devices
Seniority
Senior, hands-on IC
