Process Simulation Engineer

GE Vernova; Sriperumbudur; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Vernova, Inc. is seeking a Process Simulations Engineer to design and maintain quantitative models that forecast business outcomes for capital projects across Greenfield and Brownfield sites.

You will build high-fidelity simulations of supply chains, operations, and market shifts, translate results into action-ready recommendations, and support lean and continuous improvement initiatives through what-if analysis and data-driven decision support.

Qualifications

• 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 (AnyLogic, FlexSim, Arena, Simio).
• Experience with data cleaning and statistical analysis such as t-testing, ANOVA, and regression.
• Have basic knowledge on Java program.
• 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

Responsibilities

• Develop high-fidelity simulations of supply chains, operations, and market/demand shifts.
• Stress-test initiatives, quantify risk, and project impact of resource constraints or economic fluctuations.
• Convert raw simulation outputs into clear recommendations for executives and program leadership.
• Support lean transformation by validating process and capacity scenarios ahead of investment decisions.
• Build simulation-based business cases grounded in data; support Kaizens and continuous improvement projects.

Skills

Lean manufacturing

DES/Simulation tools

Data cleaning

Statistical analysis

Java basics

Quantitative modeling

Ground-truth data

Cross-functional comms

Site design experience

Data inputs from operations

Builder mindset

Education

Bachelor's degree in Engineering

Tools

AnyLogic

FlexSim

Arena

Simio

Job description

Job Description Summary

The Process Simulations Engineer designs and maintains quantitative models to forecast business outcomes and stress-test strategic scenarios across GE Vernova's Greenfield and Brownfield capital projects.

This role builds high-fidelity simulations of supply chains, operational workflows, and market shifts; uses them to quantify risk and project the impact of variables such as resource constraints, policy changes, or demand fluctuations; and translates simulation outputs into clear, objective recommendations that inform capital allocation and lean/continuous improvement decisions.

Job Description

Model Architecture

Develop high-fidelity simulations replicating complex business environments (supply chains, operational workflows, market/demand shifts) grounded in a detailed understanding of current-state (as-is) operations

Scenario Analysis

Use models to stress-test initiatives, quantify risk, and project the impact of variables like resource constraints, OEE drift, or economic fluctuations.

Translating Insights

• Convert raw, 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 ahead of investment decisions
• Build high-value business cases for capital investment (headcount, layout, capacity) grounded in 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.

Education

Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field.

Requirement

• 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.
• Have basic knowledge on Java program.
• 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

Additional Information

Relocation Assistance Provided: Yes