Simulation Engineer

Job Title- Simulation Engineer

Location – 100% Remote Within USA - SAN JOSE,CA

Contract -1+ year

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

• 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:

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

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

- Technical Stack:

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

o 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 AnyLogic customization).

• Experience integrating simulation models with AI/Reinforcement Learning

Team Lead

Mahesh Kumar

[email protected]

Direct No: 949-201-1313

Yochana Solutions INC

Windsor, Ontario- Canada

Farmington hills, MI-48335- USA

USA | CANADA I Mexico | INDIA

W: www.yochana.com

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