Simulation Engineer

We are looking for Simulation Engineer for our client in San Jose CA.

Job Title: Simulation Engineer

Job Location: San Jose CA

Job Type: Contract

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

• 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.

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.

Nice to Have:

• 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.

Skills:

• SimPy.
• AnyLogic.
• FlexSim.
• Python.
• Java.
• SQL.
• Discrete Event Simulation.
• Agent-Based Simulation.
• Operations Research.
• Queueing Theory.
• Stochastic Processes.
• Mathematical Optimization.
• Pandas.
• NumPy.
• SciPy.

Qualification And Education:

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

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities