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.
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
Relocation Assistance Provided: No
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world.
It is made up of three businesses -- Power, Wind, and Electrification -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come.
GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” 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.
