Maritime Production Systems Engineer (AI-Driven Factory)

Anduril

Santa Ana (CA)

On-site

USD 166,000 - 220,000

Full time

7 days ago
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Benefits offered by this job

Equity grants
Comprehensive benefits

Job summary

Anduril Industries in Santa Ana (CA) seeks an Industrial Engineer for the Production Controls team to build and maintain discrete event simulations and critical chain schedules that drive production planning for our AI-driven maritime factory. You will craft models, optimize resources, and translate insights into actionable control decisions.

This hands-on role emphasizes scripting to automate workflows and speed decision making.

Qualifications

  • 10+ years in production system design or manufacturing engineering for large complex products.
  • Demonstrated capacity or rate modeling with defendable numbers.
  • Proficiency with simulation or quantitative modeling tools (FlexSim, Simio, AnyLogic, Plant Simulation, or Python).
  • No degree required; demonstrated capability counts.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.

Responsibilities

  • Plan plant and equipment layouts, material flows, and space in a new maritime factory.
  • Develop capacity plans and rate models with sensitivity analysis.
  • Sequence operations and workflows; define stations and parallel tasks.
  • Perform discrete-event simulation of the factory and line to validate capacity.
  • Design and optimize production systems integrating design, supply base, facilities, equipment, and personnel.
  • Feed precedence networks that a dynamic scheduler (LOKI) uses.
  • Provide technical direction on production system design across builds and processes.
  • Coordinate with architecture/engineering firms and outside consultants.

Skills

Simulation modeling
Capacity planning
Discrete-event logic
Scripting

Education

Bachelors degree

Tools

FlexSim
Simio
AnyLogic
Plant Simulation
Python

Job description

Anduril Industries in Santa Ana (CA) seeks an Industrial Engineer for the Production Controls team to build and maintain discrete event simulations and critical chain schedules that drive production planning for our AI-driven maritime factory. You will craft models, optimize resources, and translate insights into actionable control decisions.

This hands-on role emphasizes scripting to automate workflows and speed decision making.

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