Senior Industrial Engineer, SimulationActive$194K

Anduril’s Manufacturing Design Team is seeking a Senior Industrial Engineer to own and scale our manufacturing simulation capability and system. The Manufacturing Team is responsible for rapidly iterating and building cutting-edge defense hardware — including static equipment,…

What you'll do

• Own Anduril’s discrete event simulation and operations-research capability: for manufacturing line design as a long-lived, foundational asset — architecting it for maintainability, extensibility, and a high useful lifetime rather than single-use analysis. Work closely with IT and Tech Teams to integrate into existing business systems.

• Build and manage the simulation intake and prioritization process: a centralized system for receiving, scoping, and triaging simulation requests from across the organization, ensuring the highest-impact studies are resourced first and stakeholders have visibility into the pipeline.

• Define how and where simulation is used at varying levels of NPI maturity: within the MDP process: from early-stage concept models that inform layout and line design decisions, through mid-maturity models that validate rate-readiness and identify bottlenecks, to mature production models that confirm the line will perform at target rate before committing capital and labor.

• Work closely with material flow, layout, labor standards (cycle times),: manufacturing test design, and automation teams — consuming their validated inputs to build simulation models that reflect the integrated production system, not isolated processes.

• Capture current and planned processes: physical constraints, business rules, and detailed decision logic — into validated simulation models that serve as a living, “current-status” reference for determining future factory and supply-chain performance across transformation projects and investment decisions.

• Design the data pipeline that keeps models current: define how live production data (cycle times, yields, routings, downtime, WIP, labor) flows in so models continuously reflect reality and can generate updated, feasible production plans and schedules as conditions change.

What they're looking for

• 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 — architecture, data integration, governance, validation protocols, and adoption.
• 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 —: from process mapping through collaborating with infrastructure design partners and detailed workstation design.
• Experience in high-mix / complex manufacturing, production ramp, or: capacity-planning environments, and with Lean Manufacturing, Continuous Improvement, and Six Sigma principles in action.
• Experience integrating models with enterprise data platforms and systems: (data warehouses, ERP, WMS, MES, Palantir Foundry, or a hosted Postgres-backed platform).
• Experience building lightweight applications or dashboards (e.g., Streamlit,: Dash, Power BI) to make models accessible and self-service, and translating KPIs — cycle time, throughput, capacity, utilization, first-pass yield — into action.
• Experience with ROI modeling and business-case development for capital: investments (automation, test equipment, facility changes).