# Senior Industrial Engineer, Simulation

**Company**: Anduril Industries
**Location**: Costa Mesa, California
**Experience**: senior
**Job type**: full-time
**Category**: Manufacturing
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5231164007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f6fb908f-68b

## Description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

The Manufacturing Design Team is seeking a Senior Industrial Engineer to own and scale our manufacturing simulation capability and system.

The right person thrives in a fast-paced, resource-limited environment, is flexible to change and ambiguity, and can act as the connective tissue among operational stakeholders to bring a production system forward.

**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 lifetime rather than single-use analysis.

- Build and manage the simulation intake and prioritization process , a centralized system for receiving, scoping, and triaging simulation requests from across the organization.

- Define how and where simulation is used at varying levels of NPI maturity within the MDP process.

- Work closely with material flow, layout, labor standards, manufacturing test design, and automation teams , consuming their validated inputs to build simulation models that reflect the integrated production system.

- Capture current and planned processes , physical constraints, business rules, and detailed decision logic , into validated simulation models.

- Design the data pipeline that keeps models current.

- Select and apply the right method for the question , baseline capacity analysis, discrete event simulation, Monte Carlo, and statistical/optimization models.

- Lead the highest-stakes simulation studies.

- Drive ROI calculations and impact analysis for major investment decisions.

- Own the design of new production lines and workstation layouts for both low-rate and full-rate production.

- Proactively identify high-variation processes, imbalances, and bottlenecks.

- Turn simulation output into decisions.

- Establish the standards.

- Hand off mature, validated line models to sustaining IEs.

- Make models digestible to non-specialists.

- Drive the migration of legacy planning tools.

- Establish how the team leverages AI.

- Mentor and train BL or bench engineers.

**REQUIRED QUALIFICATIONS**

- 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.

- Working command of complementary analytical methods.

- Strong programming ability (Python, SQL).

- Ability to read technical documentation.

- A track record of building analytical tools that others actually used and maintained.

- Ability to work in ambiguity and communicate uncertainty.

- Must be a U.S. Person.

**PREFERRED QUALIFICATIONS**

- 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.

- Experience building and managing intake/prioritization systems for an internal analytics or simulation service function.

## Skills

### Required
- discrete event simulation
- operations research
- Python
- SQL
- data analysis
- technical documentation

### Nice to have
- Industrial Engineering
- Systems Engineering
- Applied Mathematics
- centralized modeling
- analytics capability

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5231164007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)