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GE Vernova

Process Simulation Engineer

GE Vernova

. Develop high-fidelity simulations replicating complex business environments, including supply chains, operational workflows, and market/demand shifts, grounded in detailed understanding of current-state operations .

Posted 11/5/2026full-timeHosur • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing high-fidelity simulations and translating operational data into quantitative models for decision-making. Proficient in lean manufacturing principles and capable of supporting continuous improvement initiatives through data-driven recommendations.

Highest-signal resume keywords
Lean Manufacturing PrinciplesBusiness/Process Simulation ToolsData Analysis SkillsQuantitative ModelingBachelor's Degree in Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Stochastic SimulationStatistical AnalysisData CleaningJava ProgrammingOperational Workflow Analysis
Soft Skills
Communication SkillsIntellectual CuriosityProblem-Solving Mindset
Tools & Technologies
AnyLogicFlexSimArenaSimio
Industry Keywords
Manufacturing OperationsSupply ChainLean/Operations ExcellenceGreenfield Site DesignBrownfield Capacity Projects

Tech Stack

Tools & technologies
Java

About the role

Key responsibilities & impact
  • Develop high-fidelity simulations replicating complex business environments, including supply chains, operational workflows, and market/demand shifts, grounded in detailed understanding of current-state operations
  • Use models to stress-test initiatives, quantify risk, and project impacts of resource constraints, OEE drift, and economic fluctuations
  • Convert stochastic simulation outputs into clear, objective, decision-ready recommendations for executives and program leadership
  • Support the lean transformation roadmap by validating process and capacity scenarios before investment decisions
  • Build business cases for capital investment in headcount, layout, and capacity using simulation-validated data
  • Support Kaizens and continuous improvement projects with scenario modeling, what-if analysis, and efficiency recommendations
  • Validate and refine models iteratively against real production data to maintain accuracy over time

Requirements

What you’ll need
  • Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field.
  • 3+ years of experience in manufacturing operations, supply chain, or lean/operations excellence roles.
  • Working knowledge of lean manufacturing principles (VSM, takt time, line balancing, standard work)
  • Hands-on experience with DES or business/process simulation tools (e.g., AnyLogic, FlexSim, Arena, Simio)
  • Experience with data cleaning and statistical analysis such as t-testing, ANOVA, and regression.
  • Basic knowledge of Java programming.
  • Demonstrated ability to translate operational data into quantitative models and back into business recommendations
  • Experience supporting Greenfield site design, Brownfield capacity/efficiency projects, or automation business-case validation
  • Strong data analysis skills to convert production/operational data into model inputs
  • Ability to communicate complex, stochastic simulation results simply and objectively to non-technical/executive stakeholders
  • Comfort working directly with plant/site teams to gather ground-truth process data
  • Intellectual curiosity and a builder's mindset; energized by creating new modeling approaches and simulation capabilities in a function that is still taking shape, rather than following an established playbook

Benefits

Comp & perks
  • Relocation Assistance Provided: Yes