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 Software Engineering Manager for Factory Data, you will lead a team of data and software engineers building the real-time data infrastructure that connects factory PLCs, sensors, and control systems to the Unified Namespace. You will drive technical excellence, hire and develop top engineering talent, and ensure your team delivers high-throughput data pipelines and APIs that downstream consumers—including scheduling systems, AI models, and operational dashboards—depend on where uptime is non-negotiable.

WHAT YOU'LL DO

Lead, mentor, and grow a team of data engineers and software engineers building Factory Data's real-time ingestion pipelines, time-series databases, and data access APIs.
Hire exceptional engineering talent, building a high-performing team that balances speed, quality, and operational excellence in a critical data infrastructure role.
Set technical direction and architectural standards for Factory Data including data pipeline design, time-series database optimization, industrial protocol integration, and API design patterns.
Partner with manufacturing engineers, factory operators, and downstream consumers (LOKI, Applied Intelligence, ArsenalOS teams) to understand data requirements and ensure your team delivers reliable, high-quality data infrastructure.
Drive delivery and execution, ensuring your team ships high-throughput data pipelines on time while maintaining production stability and meeting availability SLAs for factory-critical systems.
Ensure your team writes production-quality code with comprehensive tests, participating in code review and establishing engineering best practices for data systems.