Senior Full-Stack SWE, ArsenalOS Deployment

Anduril-1; Costa Mesa (CA); On-site; USD 191,000 - 253,000; Full time

Job summary

Anduril Industries is seeking a Senior IoT Engineer for the Applied Intelligence initiative. You will build connected sensor infrastructure and edge intelligence for ML pipelines powering factory sensing, document processing, and drawing conversion.

You will develop IoT-enabled data collection, enable ML workflows, and ensure secure, scalable architectures across factory environments. This role emphasizes real-world operational impact and cross-team collaboration.

Qualifications

• 5+ years building production software systems.
• Deep expertise in IoT systems, edge computing, and OT/IT convergence.
• Experience with MQTT, CoAP, HTTP/S and cloud IoT platforms.

Responsibilities

• Design, build, and deploy IoT sensor networks and edge devices for real-time factory data.
• Develop edge intelligence for real-time ML inference on IoT devices.
• Write production-grade code with tests and participate in code reviews.
• Implement secure IoT architectures and data pipelines to cloud/edge ML systems.
• Collaborate with manufacturing engineers to translate workflows into IoT requirements.

Skills

IoT systems engineering

Embedded development

Edge computing

CI/CD

MQTT/IoT protocols

Education

Degree in Computer Science or Electrical Engineering

Tools

Arduino

Raspberry Pi

NVIDIA Jetson

Job description

Santa Ana, California, United States

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

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 in real time, the manufacturing execution system (ArsenalOS) that workers and planners use every shift, the scheduling engine that replans production in minutes instead of days, and the AI systems that eliminate manual toil from both the shop floor and business operations.

MDP operates at the boundary between Operational Technology and Information Technology. Our systems live where factory-floor machines, edge compute, and OT networks meet enterprise platforms and cloud infrastructure. We incubate solutions close to the production line, validate them with real operators building real hardware, harden them for reliability and security, and then scale them across multiple sites. The environment is fast, physical, and consequential. When our systems go down, production stops. The output of our work is not a dashboard: it is a ship.

This is not a support function. It is a strategic investment by Anduril in the premise that digitizing the manufacturing lifecycle end-to-end, from engineering definition through scheduling through execution through field feedback, is how Heavy Metal will out-build, out-adapt, and out-scale the traditional defense industrial base. MDP is scaling from a founding team to 70+ engineers across multiple U.S. sites. You will be joining early, working on hard problems with real operational stakes, and shaping how manufacturing software is built at Anduril from the ground up.

ABOUT THE JOB

As a Senior IoT Engineer on the Applied Intelligence initiative, you will build and deploy the connected sensor infrastructure and edge intelligence systems that power ML pipelines for factory sensing, document processing, and drawing conversion. You will develop IoT-enabled data collection systems that feed computer vision, NLP, and RAG-enabled AI workflows, creating intelligent sensing capabilities across the manufacturing environment.

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.
• Design and implement edge compute architectures that support on-device ML inference, local data processing, and intermittent connectivity scenarios in factory environments.
• Deploy and operate your systems in factory environments, including edge compute clusters and OT networks.
• Develop firmware and embedded software for microcontrollers, single-board computers (Raspberry Pi, NVIDIA Jetson), and industrial IoT gateways.
• Implement cybersecurity best practices including device authentication, encryption, secure boot, and PKI for connected factory devices.
• Leverage AI tooling (coding assistants, automation) in your development workflow and contribute to team engineering practices.
• Join an on-call rotation supporting production factory systems.

REQUIRED QUALIFICATIONS

• 5+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment.
• Deep expertise in IoT systems engineering, including embedded development, edge computing, and IoT cloud architectures.
• Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure.
• Hands-on experience with microcontrollers and single-board computers (Arduino, Raspberry Pi, NVIDIA Jetson, or industrial equivalents).
• Deep understanding of IoT communication protocols (MQTT, CoAP, HTTP/HTTPS) and wireless technologies (Wi-Fi, Bluetooth, LoRa, 5G, Zigbee).
• Experience with cloud IoT platforms (AWS IoT Core, Azure IoT Hub, Google Cloud IoT) and deploying edge-to-cloud data pipelines.
• Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, or constrained environments).
• Knowledge of cybersecurity for IoT including encryption, secure authentication, device PKI, and vulnerability mitigation.
• Excellent written and verbal communication skills, with the ability to collaborate across engineering, manufacturing, and operations teams.
• Degree in Computer Science, Electrical Engineering, Information Systems, Engineering, or related technical field, or equivalent practical experience.
• U.S. Person status is required as this position needs to access export controlled data.

PREFERRED QUALIFICATIONS

• 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.
• Experience with containerization (Docker) and orchestration (Kubernetes) for edge deployment scenarios.
• Experience in manufacturing industries with hands-on exposure to assembly lines or production environments.
• Background in building ML data collection pipelines, data labeling workflows, or MLOps for manufacturing applications.
• Experience with time-series databases (InfluxDB, TimescaleDB) and real-time analytics for sensor data.
• Eligible to obtain and maintain a U.S. Secret security clearance.

US Salary Range

$191,000 - $253,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .

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