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
Requirements:
•Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field
•3-6 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
•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: No
