Simulation Engineer

Cynet Systems • San Jose, CA

1d

About The Position

We are seeking a highly skilled Simulation Engineer to join our team. This role involves developing complex simulation models to represent real-world operational processes and conducting what-if analyses to test potential changes before physical implementation. You will collaborate with subject matter experts, prepare input data, and apply Operations Research techniques within simulation environments. Rigorous testing will be crucial to ensure model accuracy.

Requirements

• BS or MS in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, or a related quantitative field.
• Deep understanding of Discrete Event Simulation (DES) principles including entities, resources, queues, and events.
• Proven experience with Agent-Based Simulation (ABS) for modeling decentralized, autonomous behaviors.
• Strong proficiency in Python-based simulation modeling using SimPy, including the ability to write custom classes and generators.
• Hands-on experience with AnyLogic (Java-based scripting) or FlexSim (FlexScript/SQL).
• Solid foundation in queueing theory, stochastic processes, and mathematical optimization.
• Proficiency in Python (pandas, NumPy, SciPy) and Java for model building, data engineering, and analysis.
• Experience with version control, automated testing/verification, and code review practices.

Nice To Haves

• Advanced querying with SQL for data extraction.
• Demonstrated ability to solve complex problems through custom algorithm development.
• Strong aptitude for breaking down advanced technical requirements into efficient code in Python.
• Knowledge of Java specifically for advanced AnyLogic customization.
• Experience integrating simulation models with AI/Reinforcement Learning.

Responsibilities

• Develop complex simulation models using SimPy, AnyLogic, or FlexSim to represent real-world operational processes such as warehousing, logistics networks, and manufacturing lines.
• Execute comprehensive what-if analyses to test changes in layout, staffing, logic, or equipment before physical implementation.
• Collaborate with subject matter experts to clean and prepare input data, defining statistical distributions that accurately reflect process variability.
• Apply Operations Research techniques including mixed integer programming, heuristics, scheduling, graph optimization, and queueing theory within simulation environments.
• Conduct rigorous testing to ensure model behavior matches historical data and reality.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior