Discrete Event Simulation Jobs in Ohio (NOW HIRING)

The Air Dominance and Strike Division is one of Anduril's fastest growing, most technically complex divisions. We develop and build collaborative combat aircraft, missiles, and the software that powers these autonomous weapons. We are scaling production of a first-of-kind autonomous aircraft at Arsenal 1 in Ohio. Manufacturing engineering drives process development and optimization. This role ensures that work connects to program outcomes.

You own the program-level outcomes and the mechanisms that make those outcomes repeatable and improvable. You build the systems that make OEE, yield, and throughput visible, tied to cost, and driving the right priorities at the right time.
Success in this position hinges on three key facets:

• Outcomes over activity - you own whether manufacturing engineering effort translates into schedule and cost results. When the wrong problem is being solved, you redirect with data. When the right problem is not moving fast enough, you drive urgency and remove obstacles.
• Analytical depth - You use capacity modeling, discrete event simulation, and process capability analysis to see what is coming before it arrives.
• Pragmatic technical judgment - you are technical enough to challenge manufacturing engineering, pragmatic enough to know when good enough is the right call, and disciplined enough to hold the financial line.

• Own the program-level outcomes of manufacturing engineering execution through schedule performance, cost performance, and trajectory toward rate readiness
• Build the processes and mechanisms that make OEE, yield, and throughput visible, actionable, and tied to program-level financial performance
• Coordinate with manufacturing engineers to ensure the right problems are prioritized against schedule and cost targets
• Use capacity modeling and discrete event simulation to forecast constraints, validate investment decisions, and inform production planning
• Translate operational data into program decisions that keep schedule and cost on track
• Drive accountability for manufacturing engineering outcomes without directing the engineering work itself
• Build leading indicator systems that enable early intervention before manufacturing issues become schedule slips
• Own schedule and cost performance of manufacturing engineering initiatives, ensuring effort maps to results
• Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders
• Build and maintain reliable analysis pipelines using version control, scripting, and scalable workflows

• 5+ years in technical program management, manufacturing engineering, or operations analysis in complex hardware production environments
• Demonstrated ability to build program mechanisms and systems from scratch in environments without established playbooks
• Strong quantitative skills: experience with capacity modeling, discrete event simulation, process capability analysis, or equivalent analytical methods
• Technical depth in manufacturing processes sufficient to challenge engineering priorities and validate approaches
• Experience driving outcomes through coordination rather than direct authority over engineering teams
• Proficiency with scripting, version control, and scalable data workflows
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Lean Six Sigma certification or equivalent demonstrated application of structured problem solving and statistical methods to manufacturing performance improvement
• Experience in aerospace, defense, or autonomous systems manufacturing environments
• Proficiency with Palantir Foundry, discrete event simulation tools (Arena, FlexSim, or equivalent), or custom analytics stacks
• Background in operations research, industrial engineering, or data science applied to manufacturing
• Experience scaling manufacturing operations from prototype to rate production
• Familiarity with complex electromechanical assembly, avionics integration, or composite manufacturing processes