Simulation Engineer: Dynamic Ops Modeling & Optimization

Inherent Technologies

San Jose (CA)

On-site

USD 120,000 - 180,000

Full time

2 days ago

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Job summary

Inherent Technologies seeks a quantitative simulation expert to build and analyze complex models of warehousing, logistics, and manufacturing systems. You will design DES and ABS models, perform scenario analyses, and integrate data to reflect real-world variability.

Strong optimization and verification skills are essential to ensure models align with historical performance. The role emphasizes advanced programming in Python and Java, with hands-on experience in SimPy, AnyLogic, or FlexSim to

Qualifications

BS or MS in a quantitative field.
Deep knowledge of DES and ABS.
Proficiency with Python-based simulation modeling and AnyLogic/FlexSim scripting.

Responsibilities

Model Development: Develop complex simulation models using SimPy, AnyLogic, or FlexSim to represent real-world operational processes.
Scenario Analysis: Execute comprehensive what-if analyses to test changes before physical implementation.
Data Integration: Clean and prepare input data, define statistical distributions reflecting variability.
Optimization: Apply OR techniques to identify global optima vs local improvements.
Verification: Conduct rigorous testing to ensure model behavior matches historical data.