Motivity Labs
Website:
motivitylabs.com
Job details:
Company Description
Motivity Labs is an award-winning IT services company specializing in innovation and digital transformation. Recognized as one of the fastest-growing privately held companies in the U.S. for four consecutive years, Motivity Labs is ranked among the top IT service providers in Texas and the Dallas Metro area. The company delivers solutions to address complex challenges for Fortune 500 clients across diverse industries, leveraging expertise in Mobile, Cloud, Big Data, and Agile execution. Motivity Labs is committed to regulatory compliance and operates as a SOC 2 and HIPAA-compliant organization.
Role Description
The Simulation Engineer will be responsible for creating, analyzing, and interpreting simulations to support engineering and product development. The role involves utilizing simulation software(Preferably using Simpy Tool), applying knowledge of mechanical engineering principles, and performing analysis in areas such as fluid mechanics and system optimization. Collaborating with cross-functional teams, the Simulation Engineer will help identify solutions to complex engineering challenges.
Job Description
Experience Required: 4+ Years
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 Google 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:
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, C++, Java, etc.,
• Knowledge of Java (specifically for advanced AnyLogic customization).
• Experience integrating simulation models with AI/Reinforcement Learning agents.
• Familiarity with visualization tools like Tableau, PowerBI, or Streamlit.
If anyone interested, request you to share your updated resume to - anushasree.c@motivitylabs.com
Thanks,
Anusha
Motivity Labs
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