Modeling and Simulation Engineer

Anduril Industries

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Ana, CA
Salary
$129,000–$171,000 / yr
Posted
10 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $150k
$116k most similar roles pay here $248k

This role pays less than 80% of similar roles. Most pay $159,000–$235,050 — the shaded band above. At the midpoint, this role pays about $150k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1697 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1504 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Modeling and Simulation Engineer

The Modeling and Simulation Engineer joins the Maritime Manufacturing Technology Team to advance maritime manufacturing through advanced simulation and software engineering. This builder-oriented role focuses on automating industrial engineering tasks by designing and maintaining business process automation for integrated production schedules within a Protofactory environment. The engineer will build automated workflows connecting tickets, deliveries, and production events while developing advanced simulation models to identify bottlenecks and optimize flow. Key responsibilities include creating data pipelines for real-time visibility and applying operations research methods like queuing theory and discrete event simulation. Required skills include proficiency in Python and SQL, experience with Monte Carlo or agent-based modeling, and the ability to use AI/ML tools for automation. The role addresses complex production planning problems by translating scheduling logic into automated systems within a high-tech manufacturing context.

What you'll do

  • Automate large portions of the industrial engineering role through software and scripts.
  • Design and maintain business process automation for comprehensive schedule management across multiple platforms.
  • Implement and maintain a single integrated master schedule for the Protofactory.
  • Build automated workflows connecting tickets, deliveries, production events, and reporting data.
  • Develop advanced simulation models to test scenarios, identify bottlenecks, and optimize production flow.
  • Create data pipelines and dashboards to provide real-time visibility into schedules.
  • Apply operations research methods like queuing theory and discrete event simulation to planning problems.
  • Leverage AI and machine learning tools to accelerate the development of automation systems.

What we're looking for

  • Must have an operations research background, degree, or demonstrated expertise in applied math or industrial engineering.
  • Must possess software engineering proficiency and the ability to write production-quality code in Python, SQL, or similar languages.
  • Must be a digital native comfortable building tools, writing scripts, using APIs, and working in code-first environments.
  • Must have experience with simulation techniques such as discrete event, Monte Carlo, or agent-based modeling.
  • Ability to translate complex scheduling logic into automated, maintainable systems.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
  • Must be a U.S. Person due to required access to export-controlled information or facilities.

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