Simulation Engineer

Role : Simulation Engineer
Location: San Jose, CA (On-Site)

Key Responsibilities

• Model Development: Develop complex simulation models using SimPy, AnyLogic, or FlexSim to represent real-world operational processes (e.g., warehousing, logistics networks, manufacturing lines) per the design and specifications from Client SME's

• Scenario Analysis: Execute comprehensive "what-if" analyses to test changes in layout, staffing, logic, or equipment before physical implementation as per the provided specifications.

• Data Integration: Collaborate with SME's to clean and prepare input data, defining statistical distributions (Poisson, Gaussian, etc.) that accurately reflect process variability.

• Optimization: Apply Operations Research techniques (mixed integer programming, heuristics, scheduling, graph optimization and queueing theory) within simulation environments to identify global optima versus local improvements.

• Verification: Conduct rigorous testing to ensure model behavior matches historical data and reality.

Required Qualifications

• Educational Background: BS or MS in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, or a related quantitative field.

• Simulation Expertise:

Deep understanding of Discrete Event Simulation (DES) principles (entities, resources, queues, events).

Proven experience with Agent-Based Simulation (ABS) for modeling decentralized, autonomous behaviors.

• Technical Stack: SimPy: Strong proficiency in Python-based simulation modeling; ability to write custom classes and generators.

Commercial Tools:

Hands-on experience with AnyLogic (Java-based scripting) or FlexSim (FlexScript/SQL).

Operations Research: Solid foundation in queueing theory, stochastic processes, and mathematical optimization.

Programming: Integration of version control, automated testing/verification and code review practice.

Proficiency in Python (pandas, NumPy, SciPy), Java for model building, data engineering and analysis.

Preferred Qualifications

• 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 Any Logic customization).

• Experience integrating simulation models with AI/Reinforcement Learning