Staff Industrial Engineer, Maritime Production System Design

Anduril Industries

Santa Ana (CA)

On-site

USD 166,000 - 220,000

Full time

12 days ago
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Benefits offered by this job

Equity grants
Comprehensive benefits

Job summary

Anduril Industries is seeking an Industrial Engineer to join the Production Controls team in Santa Ana, CA. You will develop discrete-event simulation models and critical chain schedules to drive production planning for our AI factory, visualizing systems, identifying bottlenecks, and optimizing resource allocation to translate insights into actionable control decisions.

This hands-on role requires strong Operations Research fundamentals and scripting to automate workflows, improving throughput

Qualifications

  • 10+ years in production system design, factory design, or manufacturing engineering for large complex products.
  • Demonstrated capacity or rate modeling: you built the model, defended the number, and were held to it.
  • Comfort with simulation or quantitative modeling (FlexSim, Simio, AnyLogic, Plant Simulation, or Python).
  • No degree required. We hire on demonstrated capability; apprenticeship, Navy Nuclear Power School, military experience, or self-taught modeling count.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.

Responsibilities

  • Plan plant and equipment layouts for a new maritime factory.
  • Develop capacity plans and rate models with sensitivity analysis.
  • Sequence operations and determine parallelization and timings.
  • Create discrete-event simulations to validate capacity before building occurs.
  • Lead design of production systems across vendors and internal teams.
  • Define requirements to architecture/engineering firms and review responses.
  • Conduct trade studies and select configurations, bays, and levels of automation.

Skills

Operations research
Production planning
Capacity modeling
Manufacturing engineering
Security clearance readiness
Python scripting

Education

Bachelor’s degree in industrial engineering or related field

Tools

FlexSim
Simio
AnyLogic
Plant Simulation
Python

Job description

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.

ABOUT THE TEAM

Anduril’s Manufacturing Technology, Maritime Team is building the next generation of advanced AI-driven factories to manufacture large-scale autonomous maritime systems at unprecedented speed and scale. The Maritime Manufacturing Technology Team is responsible for rapidly developing and implementing manufacturing technologies and processes for cutting-edge defense hardware, including deployable static and moving surface, undersea and sea to air vehicles, and scaling these products in our new manufacturing facilities. Our industrialization approach combines advanced manufacturing methods, digital integration, and adaptive planning to compress development timelines while de-risking production decisions.

ABOUT THE JOB

As an Industrial Engineer on the Production Controls team, you will develop and maintain discrete event simulation models and critical chain schedules that drive production planning for Anduril’s advanced AI factory. You will use simulation and modeling tools to visualize production systems, identify bottlenecks, and optimize resource allocation—translating analytical insights into actionable production control decisions. You will also integrate technology into daily workflows by writing scripts and building automated processes that increase the team’s throughput and decision speed. This is a hands‑on role for someone with strong Operations Research fundamentals who is eager to apply simulation, optimization, and scripting to real manufacturing problems at scale.

WHAT YOU’LL DO
  • Plant and equipment layouts, material flow paths, and space allocation for a new maritime factory.
  • Capacity plans and rate models: units per year under a given configuration, with the sensitivity analysis behind the number.
  • Sequencing of operations and work flow: how a build is broken into stations, what runs in parallel, where the unit sits and for how long.
  • Discrete-event simulation of the factory and the line, used as the primary way we validate capacity before the building exists.
  • Designing and optimizing the production system by integrating design, supply base, facilities, equipment, and personnel.
  • Feeding the precedence network that our dynamic scheduling system (LOKI) plans against.
  • Technical direction on production system design across VCS and Megalodon build processes: you set the method, others execute it.
  • Requirements to our architecture/engineering firm and outside consultants, and review of what comes back.
  • The trade studies that close at design review: building configuration, bay allocation, automation degree, station count.
REQUIRED QUALIFICATIONS
  • 10+ years in production system design, factory design, or manufacturing engineering for large complex products, including at least one program where you owned the capacity or rate commitment.
  • Demonstrated capacity or rate modeling: you have built the model, defended the number, and been held to it.
  • Comfort with simulation or quantitative modeling (FlexSim, Simio, AnyLogic, Plant Simulation, or Python).
  • No degree required. We hire on demonstrated capability. Apprenticeship, Navy Nuclear Power School, military experience, trade background, or self-taught modeling all count.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
  • Bachelor’s degree in industrial engineering, operations research, manufacturing engineering, systems engineering, or related technical field.
  • Shipyard or aerospace final-assembly experience: stage of construction, module breakdown, pre-outfitting, erection sequence.
  • Greenfield or major-expansion factory work.
  • MES/ERP fluency (Forge, Odoo, SAP, Solumina, Oracle).

US Salary Range

$166,000—$220,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Data Privacy

To view Anduril’s candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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 and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

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