Senior Industrial Engineer

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.

Anduril’s Manufacturing Team is seeking an Industrial Engineer, Discrete Event Simulation (DES) to join our team with an emphasis on manufacturing optimization. The role will support the development of simulation and optimization models to predict the behavior of manufacturing processes to drive real world adaptations. Executing on this responsibility will entail active collaboration with other Anduril teams, including but not limited to Supply Chain, Engineering, Quality, and Business Operations.

The Manufacturing Team is responsible for rapidly iterating and building cutting‑edge defense hardware, including static equipment, moving ground equipment, sensors, undersea, and flight vehicles, and scaling these products in our new 5M sq ft manufacturing facility, Arsenal‑1.

The right person for this role can demonstrate holistic ownership on solving operational challenges with creative solutions in a fast‑paced, resource‑limited environment. This person will be flexible to change and ambiguity in their working environment, while working to ensure products are built and shipped on‑time under stringent quality standards. If you are someone who thrives as the connective tissue among operational stakeholders to bring a production team forward, then this role is for you.

• Capture the current process including all physical constraints, business rules and detailed decision logic into a 3D simulation‑based virtual factory to serve as process and operational knowledge base.
• Create feasible results, plans and schedules for shop floor, warehouse, factory & supply chain execution in all the relevant time ranges by ensuring that all scheduled operations are resource capacity, material, and timeline feasible.
• Maintain an adaptive, data generated and driven virtual factory to always retain a "current status" digital reference model for determining future performance of the factory/supply chain whenever required for different transformation projects and investment decisions.
• Own the design of new production lines and work station layouts, both for low rate and full‑rate production, leveraging a data‑driven approach.
• Proactively identify high variation processes, imbalances and bottlenecks caused by line layout, equipment constraints, staffing shortages, and other production inputs; flag constraints with the appropriate owners across Manufacturing, Supply Chain, Engineering, and Quality and drive to resolution.
• Translate and drive action from metrics, KPIs, and reporting associated with monitoring production line health and efficiency, such as cycle time, throughput rate, capacity, utilization, and first pass yield.
• Produce and maintain capacity plans, balanced line layouts, staffing allocations, and time standards for manufacturing work content.
• Collaborate and drive operational improvements end‑to‑end for next‑generation defense products as we scale in maturity and production rate.
• Work across domains, from execution‑based work to the strategic future state of a product or business line.

• 5+ years past experience in a fast‑paced manufacturing environment.
• Experience with Technomatix “Plant Sim” simulation software or equivalent DES (Promodel, Flex Sim, Simio, etc.) OR basic knowledge in object‑oriented computer programming (example languages: Python, R, C++, Java, etc.) OR working with large data sets with SQL or No‑SQL.
• Ability to read technical…