Senior Industrial Engineer, SimulationActive$194K

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

What you'll do

• Own Anduril's discrete event simulation and operations-research capability: for manufacturing as a long-lived, foundational asset — architecting it for maintainability, extensibility, and a high useful lifetime rather than single-use analysis.

• Capture current and planned processes: physical constraints, business rules, and detailed decision logic — into validated digital twins that serve as a living, "current-status" reference model 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.

• 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 justify why a given approach fits the decision at hand.

• 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 risk/scenario planning (demand variability, supplier disruption, equipment failure via MTBF/MTTR).

• Own the design of new production lines and workstation layouts for both: low-rate and full-rate production, using a data-driven, simulation-backed approach.

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.
• 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.
• Knowledge of design: and manufacturing-engineering processes, including 3D factory layout and manufacturing simulation of assembly processes and human ergonomics.
• Demonstrated use of AI tools (e.g., Claude, LLM-based coding assistants) to: accelerate modeling, data work, or analysis — with a healthy skepticism about validating their output.