Middle Process Simulation Engineer

SoftServe; Town of Poland (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

SoftServe is seeking a results-oriented simulation engineer to design and develop discrete-event simulation solutions that optimize industrial processes and operations. You will work with Digital Twins, process simulation tools, and data-driven approaches to analyze production systems and deliver measurable business value.

You will collaborate with cross-functional teams and customers to translate challenges into simulation-based solutions, apply optimization techniques, and explore AI/ML and

Qualifications

• 3+ years of experience developing simulation models using discrete event simulation platforms such as AnyLogic or FlexSim.
• Degree in Mechanical Engineering, Mathematics, Computer Science, Physics, or a related field.
• Hands-on experience with simulation development in Python using libraries such as SimPy, PySim, Simulus, MESA, or AgentPy.
• Experience designing simulation experiments, what-if analyses, and optimization scenarios.
• Practical knowledge of mathematical optimization tools such as cuOpt, Gurobi, or CPLEX.
• Understanding of Digital Twins and Industrial Metaverse concepts and simulation-driven decision support.
• Experience integrating simulation models with operational or real-time data sources.
• Strong communication skills with the ability to present complex technical concepts to diverse stakeholders.
• Upper-intermediate or higher level of English.

Responsibilities

• Design, develop, and validate DES simulation models.
• Simulate and optimize production processes, material flows, and logistics across industries.
• Design and execute simulation experiments and what-if analyses.
• Develop simulation models using Python and relevant libraries.
• Integrate simulation models with operational data to support decision-making.
• Collaborate with customers and cross-functional teams to translate business challenges into simulation-based solutions.
• Apply optimization techniques and mathematical solvers to improve efficiency and resource utilization.
• Explore emerging technologies such as Digital Twins, Industrial Metaverse, AI/ML, and NVIDIA Omniverse to enhance simulation capabilities.

Skills

Discrete-event simulation

Python

English proficiency

Cross-functional collaboration

Data-driven decision making

Education

Bachelor's degree in Mechanical Engineering, Mathematics, Computer Science, Physics, or related field

Tools

AnyLogic

FlexSim

Python libraries (SimPy, PySim, Simulus)

cuOpt

Gurobi

CPLEX

Job description

About The Role

In this role, you will contribute to designing and developing simulation solutions that help optimize industrial processes and operational performance. Working with Digital Twins, process simulation technologies, and modern data-driven approaches, you will collaborate with cross‑functional teams and customers to analyze production systems, evaluate improvement scenarios, and deliver solutions that drive measurable business value.

Responsibilities

• Design, develop, and validate process simulation models using discrete event simulation (DES) tools
• Simulate and optimize production processes, material flows, and logistics across industries such as manufacturing, warehousing, retail, and automotive
• Design and execute simulation experiments and what-if analyses to evaluate system performance and identify optimization opportunities
• Develop simulation models using Python and relevant simulation libraries where appropriate
• Integrate simulation models with operational data to support data-driven decision-making and Digital Twin initiatives
• Collaborate with customers and cross‑functional teams to translate business challenges into simulation‑based solutions
• Apply optimization techniques and mathematical solvers to improve operational efficiency and resource utilization
• Explore emerging technologies such as Digital Twins, Industrial Metaverse, AI/ML, and NVIDIA Omniverse to enhance simulation capabilities

Requirements

• 3+ years of experience developing simulation models using discrete event simulation platforms such as AnyLogic or FlexSim
• Degree in Mechanical Engineering, Mathematics, Computer Science, Physics, or a related field
• Hands‑on experience with simulation development in Python using libraries such as SimPy, PySim, Simulus, MESA, or AgentPy
• Experience designing simulation experiments, what-if analyses, and optimization scenarios
• Practical knowledge of mathematical optimization tools such as cuOpt, Gurobi, or CPLEX
• Understanding of Digital Twins, Industrial Metaverse concepts, and simulation-driven decision support
• Experience integrating simulation models with operational or real‑time data sources
• Strong communication skills with the ability to present complex technical concepts to diverse stakeholders
• Upper-intermediate or higher level of English

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.