Process Simulation Engineer

GE Vernova, Inc.; Tamil Nadu; In loco; INR 1.400.000 - 2.400.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation assistance provided

Descrizione del lavoro

GE Vernova, Inc. in India invites a Process Simulations Engineer to design high-fidelity simulations of supply chains, operations, and market shifts, translating outputs into objective recommendations for capital allocation and lean improvement decisions.

You will build model architectures, conduct scenario analysis, and stress-test initiatives; translate insights into executive-ready guidance, support Kaizens, and validate models against production data to sustain accuracy.

Competenze

• Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field.
• 3+ years of experience in manufacturing operations, supply chain, or lean roles.
• Experience with DES or simulation tools (AnyLogic, FlexSim, Arena, Simio).
• Basic knowledge of Java.
• Ability to translate data into quantitative models and business recommendations.

Mansioni

• Develop high-fidelity simulations of supply chains, workflows, and market shifts.
• Use models to stress-test initiatives and project impact of resources and demand.
• Translate outputs into decision-ready recommendations for executives.
• Support lean transformation with scenario planning and capacity validation.
• Refine models against production data to maintain accuracy.

Conoscenze

Data analysis

Simulation tools

Lean manufacturing

Statistical analysis

Java basics

Stakeholder communication

Ground-truth data collection

Formazione

Bachelor's degree in Engineering

Strumenti

AnyLogic

FlexSim

Arena

Simio

Descrizione del lavoro

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 stakeholdersComfort working directly with plant/site teams to gather ground-truth process dataIntellectual 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

Relocation Assistance Provided: Yes