Process Simulation Engineer

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 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 Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com