Simulation Engineer

Cynet Systems • San Jose, CA

13h

About The Position

Develop complex simulation models using SimPy, AnyLogic, or FlexSim to represent real-world operational processes, such as warehousing, logistics networks, and manufacturing lines, per the design and specifications provided by our client's SME's. Execute comprehensive what-if analyses to test changes in layout, staffing, logic, or equipment before physical implementation, per the provided specifications. Collaborate with SME's to clean and prepare input data, defining statistical distributions such as Poisson and Gaussian that accurately reflect process variability. Apply Operations Research techniques, including mixed integer programming, heuristics, scheduling, graph optimization, and queueing theory, within simulation environments to identify global optima versus local improvements. Conduct rigorous testing to ensure model behavior matches historical data and reality.

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, with the ability to write custom classes and generators.
• Hands-on experience with AnyLogic or FlexSim.
• Solid foundation in queueing theory, stochastic processes, and mathematical optimization.
• Integration of version control, automated testing and verification, and code review practice.
• Proficiency in Python (pandas, NumPy, SciPy), Java for model building, data engineering, and analysis.

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.
• Execute comprehensive what-if analyses to test changes in layout, staffing, logic, or equipment before physical implementation.
• Collaborate with SME's to clean and prepare input data, defining statistical distributions.
• Apply Operations Research techniques within simulation environments to identify global optima versus local improvements.
• Conduct rigorous testing to ensure model behavior matches historical data and reality.

What This Job Offers

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