Senior Industrial Engineer, Simulation

The role

You will own and scale the manufacturing simulation capability and system. You will build validated models to quantify capacity, identify constraints, and evaluate design trade-offs for production systems.

What you will do

• Own discrete event simulation and operations-research capability for manufacturing line design.
• Build and manage the simulation intake and prioritization process.
• Define simulation use within the Manufacturing Development Plan process.
• Work with material flow, layout, labor standards, and automation teams to build models.
• Capture current and planned processes into validated simulation models.
• Design the data pipeline to keep models current with live production data.
• Select and apply appropriate methods like Monte Carlo, regression, and optimization.
• Lead high-stakes simulation studies for capacity, NPI ramp, and capital investment.
• Drive ROI calculations and impact analysis for major investment decisions.
• Own the design of new production lines and workstation layouts.

Required qualifications

• 6+ years of experience building simulation and/or operations-research models in a manufacturing environment.
• Deep, hands-on expertise with discrete event simulation software (e.g., Siemens Tecnomatix Plant Simulation, Simio, FlexSim, AnyLogic, Arena, ProModel, SimPy, or equivalent).
• Strong grasp of underlying statistics including distributions, variance reduction, warm-up, replications, and confidence in results.
• Working command of capacity and bottleneck analysis, Monte Carlo, regression, and mathematical optimization.
• Strong programming ability in Python and SQL.
• Ability to read technical documentation such as facility drawings, assembly drawings, technical specifications, and manufacturing procedures.
• Track record of building analytical tools that others use and maintain.
• Ability to work in ambiguity and communicate uncertainty to non-technical decision-makers.
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

Nice to have

• Bachelor’s or advanced degree in Industrial Engineering, Operations Research, Systems Engineering, Applied Mathematics, or a related quantitative field.
• Experience standing up a centralized modeling or analytics capability from scratch.
• Experience building and managing intake/prioritization systems for an internal analytics or simulation service function.
• Prior work designing and/or setting up new production lines or factories.
• Experience in high-mix / complex manufacturing, production ramp, or capacity-planning environments.
• Experience with Lean Manufacturing, Continuous Improvement, and Six Sigma principles.
• Experience integrating models with enterprise data platforms (e.g., Palantir Foundry, ERP, WMS, MES).
• Experience building lightweight applications or dashboards (e.g., Streamlit, Dash, Power BI).
• Experience with ROI modeling and business-case development for capital investments.
• Knowledge of design- and manufacturing-engineering processes, including 3D factory layout and human ergonomics.

Benefits

• Comprehensive, competitive benefits package available at little to no cost to employees.

Before you apply

• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.
• By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening.

About the company

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. Their family of systems is powered by Lattice OS, an AI-powered operating system.