SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 129,000 - 171,000 / annual
Anduril Industries, a defense technology company, is seeking a Modeling and Simulation Engineer to join the Maritime Manufacturing Technology Team in Santa Ana, CA. This role combines operations research, software engineering, and advanced simulation to build and maintain an integrated production schedule for the Protofactory—a cutting-edge manufacturing facility developing deployable surfaces, undersea and sea-to-air vehicles.
You will design and implement business process automation connecting all scheduling touchpoints: from tickets and materials & equipment (M&E) deliveries through production starts and bar charts into a single source of truth. This is a digital-first, builder-oriented position rather than a traditional industrial engineering role.
Key responsibilities include:
- Fully automating large parts of the industrial engineering workflow
- Designing, building, and maintaining business process automation for full schedule management across platforms
- Implementing and maintaining one integrated master schedule for the Protofactory
- Building automated workflows connecting tickets, M&E deliveries, production start events, bar charts, and reporting
- Developing advanced simulation models (discrete event simulation, Monte Carlo, agent-based modeling) to test schedule scenarios, identify bottlenecks, and optimize production flow
- Creating data pipelines and dashboards providing real-time schedule visibility
- Collaborating with the Protofactory Master Scheduler to translate scheduling logic into automated systems
- Applying operations research methods (optimization, queuing theory, discrete event simulation) to production planning problems
- Leveraging AI/ML tools to accelerate automation development
Required qualifications include operations research background or demonstrated expertise in OR, applied math, or industrial engineering with quantitative focus; software engineering proficiency in Python, SQL, or similar; comfort with simulation techniques; ability to translate complex scheduling logic into automated systems; and eligibility for U.S. Secret security clearance. U.S. Person status required due to export-controlled information access.
Preferred qualifications include proficiency with AI coding tools, experience with production scheduling systems (ERP, MES), manufacturing operations background, visualization/graphics tool familiarity, advanced degree in OR/IE/CS/Applied Math, and experience building integrations across ticketing, procurement, and production tracking systems.
