Senior Process Simulation Engineer

SoftServe

Town of Poland (NY)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

SoftServe seeks an experienced professional to design and develop advanced simulation solutions for industrial systems. You will leverage Digital Twins, Industrial Metaverse tech, and modern platforms to deliver data-driven insights and support decision-making.

Responsibilities include building Digital Twin models, running experimentations, and integrating with real-time data sources. Strong Python skills and knowledge of DES/ABM are essential, along with effective cross-functional collaboration.

Qualifications

  • 5+ years of experience developing simulation models with DES platforms.
  • Degree in Mechanical Engineering, Mathematics, CS, Physics or related field.
  • Hands-on Python with libraries such as SimPy, PySim, Simulus, MESA or AgentPy.
  • Experience designing simulation experiments, what-if analyses, and optimization scenarios.
  • Knowledge of cuOpt, Gurobi or CPLEX optimization tools.
  • Understanding of Digital Twins, Industrial Metaverse concepts and simulation-driven decisions.
  • Experience integrating models with operational or real-time data sources.
  • Strong communication and ability to present complex concepts in English.

Responsibilities

  • Design, develop, and validate simulation models using DES/ABM techniques.
  • Build Digital Twin solutions to simulate and optimize industrial processes.
  • Conduct simulation experiments, what-if analyses, and optimization studies.
  • Integrate models with real-time data sources for adaptive solutions.
  • Collaborate with customers and cross-functional teams to translate challenges into simulations.
  • Apply mathematical optimization to improve performance and resource use.
  • Explore Digital Twins, Industrial Metaverse, AI/ML, and NVIDIA Omniverse technologies.
  • Present results and recommendations to technical and business stakeholders.

Skills

Simulation modeling
Discrete event simulation
Agent-based modeling
Python programming
Optimization
Communication skills
English proficiency

Education

Mechanical Engineering
Mathematics
Computer Science
Physics
Related field

Tools

AnyLogic
FlexSim
SimPy
PySim
Simulus
MESA
AgentPy
cuOpt
Gurobi
CPLEX

Job description

About The Role

In this role, you will contribute to designing and developing advanced simulation solutions that help organizations optimize complex industrial systems and operations. Working with Digital Twins, Industrial Metaverse technologies, and modern simulation platforms, you will collaborate with cross-functional teams and customers to deliver data-driven insights, evaluate operational scenarios, and enable more informed business decisions.

Responsibilities
  • Design, develop, and validate simulation models using discrete event simulation and agent-based modeling techniques
  • Build Digital Twin solutions to simulate, analyze, and optimize industrial processes and operational workflows
  • Conduct simulation experiments, what-if analyses, and optimization studies to support business and engineering decisions
  • Integrate simulation models with operational and real-time data sources to enable adaptive and data-driven solutions
  • Collaborate with customers and cross-functional teams to understand business challenges and translate them into simulation-based solutions
  • Apply mathematical optimization techniques to improve system performance, efficiency, and resource utilization
  • Explore and adopt emerging technologies such as Digital Twins, Industrial Metaverse, AI/ML, and NVIDIA Omniverse
  • Present simulation results and technical recommendations to technical and business stakeholders
Requirements
  • 5+ 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.

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