Software Engineer, Data Engineering, LOKI

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 Software Engineer, Data Engineering on the LOKI initiative, you will develop the data systems that power intelligent manufacturing scheduling and optimization. You will build systems that generate manufacturing precedence graphs from 3D geometry and BOMs, and create optimization engines that replan production schedules in under 10 minutes when disruptions occur on the factory floor.

WHAT YOU'LL DO

• Build high-performance data processing systems that replan production schedules in under 10 minutes when disruptions occur, using constraint solvers and numerical optimization techniques.
• Partner with manufacturing engineers and factory operators to understand production workflows and translate them into software requirements.
• Write production-quality code with comprehensive tests, participating in code review and architectural discussions.
• Design and implement data access layers for computational geometry operations, enabling efficient extraction of features, dependencies, and manufacturing sequences from CAD models.
• Develop graph algorithms that model manufacturing dependencies, resource constraints, and optimization objectives across complex assembly operations.
• Integrate data from PLM, ERP, MES, and CAD/CAM systems to create a unified data foundation for scheduling and optimization algorithms.
• Deploy and operate your systems in factory environments, including edge compute clusters and OT networks.
• Implement and optimize constraint solvers (e.g., MIP, CP, SAT) and numerical optimization algorithms for production scheduling under real-world constraints.
• 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.
• Monitor and optimize the performance of scheduling algorithms to ensure sub-10-minute replanning times at production scale.

REQUIRED QUALIFICATIONS

• 3+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment.
• Deep expertise in data engineering with strong foundations in algorithms, data structures, and computational complexity.
• Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure.
• Proficiency in programming languages used for data engineering and numerical computing (e.g., Python, Java, Scala, C++, Rust).
• Experience with computational geometry, graph algorithms, or numerical optimization techniques.
• Strong understanding of data architecture principles and best practices for handling large-scale datasets.
• Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, or constrained environments).
• Strong problem-solving skills and ability to translate complex manufacturing problems into algorithmic solutions.
• Excellent written and verbal communication skills, with the ability to collaborate across engineering, manufacturing, and operations teams.
• Degree in Computer Science, Information Systems, Engineering, Mathematics, Operations Research, 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).
• Experience with constraint solvers (OR-Tools, Gurobi, CPLEX, Z3) or numerical optimization frameworks (SciPy, JuMP, Pyomo).
• Background in operations research, scheduling algorithms, or discrete optimization applied to manufacturing or logistics.
• Experience with graph databases (Neo4j, JanusGraph) or graph processing frameworks (NetworkX, Apache TinkerPop).
• 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, PLM, or manufacturing planning systems.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Experience in manufacturing industries with hands-on exposure to assembly lines or production environments.
• Knowledge of Bill of Materials (BOM) structures, manufacturing routing, and production planning concepts.
• Eligible to obtain and maintain a U.S. Secret security clearance.