Senior Software Engineer, Data Engineering

Maritime Digital Production (MDP) is the software and digital systems function within Andurils Heavy Metal division. We build and deploy the full technology stack that powers Andurils 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.

As a Senior Software Engineer Data Engineering on this exciting - first of its kind 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.

• 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.

• 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.

• 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.

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 Andurils 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 youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.

To view Andurils candidate data privacy policy please visit submitting your application you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk integrity and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists adverse media public-record information and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology intellectual property and organizational security.