Senior Industrial Engineer, Simulation

Job description

Job responsibilities

• 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…
• 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…
• 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…
• 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…
• 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…
• 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,…
• Select and apply the right method for the question — baseline capacity analysis, discrete event simulation, Monte Carlo, and statistical/optimization models (regression, linear/integer programming, queuing) — and…
• Lead the highest-stakes simulation studies: capacity modeling, NPI ramp simulation, capital-investment analysis with quantified ROI, line balancing and flow optimization, design-change impact analysis, and production…

Job requirements

• 6+ years of experience building simulation and/or operations-research models used to drive real operational or capital decisions in a fast-paced 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) and a strong grasp of the underlying…
• Working command of complementary analytical methods: capacity and bottleneck analysis, Monte Carlo, regression, and mathematical optimization (linear/integer programming), plus sound judgment on when to apply…
• Strong programming ability (Python, SQL) for building data pipelines, custom models, and reproducible analysis — and comfort working with large data sets (filtering, trend identification, graphical representation).
• Ability to read technical documentation such as facility drawings, assembly drawings, technical specifications, and manufacturing procedures for electronic, mechanical, and electromechanical assembly.
• A track record of building analytical tools that others actually used and maintained — evidence you think about longevity, data freshness, validation, and end-user consumption, not just the model itself.
• Ability to work in ambiguity and communicate uncertainty, translating technical output into a clear recommendation for non-technical decision-makers.
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.