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.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/andurilindustries/jobs/5231164007