Senior IoT Engineer, Applied IntelligenceActive$253K
The opportunity
Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the full technology stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible…
What you'll do
Design, build, and deploy IoT sensor networks and edge devices that capture: real-time factory data for ML pipelines including computer vision systems, document processing, and production monitoring.
Develop edge intelligence systems that run ML inference locally on IoT: devices and edge compute for real-time factory sensing, quality inspection, and anomaly detection.
Partner with manufacturing engineers and factory operators to understand: production workflows and translate them into IoT sensing and data collection requirements.
Write production-quality code with comprehensive tests, participating in code: review and architectural discussions.
Implement secure, scalable IoT communication architectures using industrial: protocols (MQTT, AMQP, OPC-UA, Sparkplug B) to transmit sensor data to cloud and edge ML pipelines.
Build data ingestion pipelines that connect IoT sensors, cameras, and edge: devices to ML model serving infrastructure for computer vision, document extraction, and NLP applications.
What they're looking for
- Experience in manufacturing, industrial, or OT-adjacent domains (MES, SCADA,: PLC integration, factory automation, IoT).
- Hands-on experience deploying ML models at the edge for computer vision,: sensor fusion, or predictive maintenance applications.
- Experience with edge ML frameworks (TensorFlow Lite, ONNX Runtime, OpenVINO,: NVIDIA TensorRT) and deploying models on resource-constrained devices.
- Background in computer vision systems, including camera selection, lighting: design, image processing pipelines, and ML inference for quality inspection.
- Experience with industrial data protocols (OPC-UA, Modbus, Profinet,: EtherNet/IP) and integrating IoT systems with PLCs and industrial control systems.
- Familiarity with frontier AI tooling, AI coding assistants, and AI-enabled software development workflows.
- Experience in hyper-growth startup-like environments, with demonstrated: success balancing speed, ambiguity, and long-term system health.
- Familiarity with enterprise systems such as ERP, MES, WMS, or manufacturing planning systems.
