Process Simulation Twin & Optimization Engineer - Refinery Experience Only

Apply now » Title: Process Simulation Twin & Optimization Engineer - Refinery Experience Only Job Req ID: 17346 Description: Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. Overview We are seeking an experienced Process Simulation Twin (PST) and Optimization Engineer to join our Reliability Solutions Department (RSD) within our Global Manufacturing Excellence Center. Global Manufacturing Excellence (GME) is the recognized Center of Excellence driving value across Saudi Aramco’s Downstream Global manufacturing portfolio. Your primary role is to deploy and sustain online process simulations (process digital twins), perform process optimization activities to identify opportunities, monitor process performance KPIs and develop advanced process optimization data-enabled solutions. This role sits at the boundary of process engineering and digitalization beyond traditional process simulation roles. You will be responsible for bridging the gap between rigorous thermodynamic models, process digital twins, real-time process data and hybrid analytics through AI. Key Responsibilities As the successful candidate you will be required to perform the following: Lead the development, deployment, and sustainment of PST that integrate real-time process data with rigorous equation-oriented or sequential simulation engines in alignment with corporate objectives. Configure and troubleshoot the connectivity between plant historians, laboratory information systems, and simulation software to ensure seamless data ingestion and reconciliation. Utilize PST to perform automated monitoring of facility health, detecting deviations between ideal performance and actual plant operations to identify opportunity gaps. Develop and maintain thermodynamic models and mathematical equations that accurately represent the behavior of various processes ensuring the PST accurately reflects the current state of the facility (including heat exchanger fouling, catalyst decay, etc.). Perform offline engineering studies using PST to analyze complex operational problems, debottleneck constraints, and conduct "what-if" scenarios based on current operating conditions. Act as the technical liaison between data teams and Operations/Process Engineering teams, leading technical sessions on model architecture, data quality, and commissioning. Lead process optimization sessions to de-bottleneck key process units such as CDU/VDU, Hydrocrackers, Catalytic crackers, Diesel Hydrotreaters, Isomerization. Benchmark process optimization KPIs with 15+ operating facilities and provide development of programs, processes, guidelines and best practices. Provide subject matter expertise to operating facilities Operations, Maintenance, and Engineering teams by consulting, providing awareness sessions, and participating and leading technical exchanges and conferences. Minimum Requirements You must hold a Bachelor’s degree in Chemical Engineering. You will have a minimum of 15 years of experience in Process Simulations, Online Modeling, or Real-Time Optimization (preferably ROMeo). 20 years of experience is preferred. You will be able to Demonstrate expertise in process engineering and flowsheet-based processes simulation. Preferred Equation Oriented simulation. You will have comprehensive understanding of refinery facilities, feedstock/product movements, margins, giveaways, process yields, and mass and energy balances. Demonstrated experience connecting simulations to live data sources (Data Historians, OPC, etc.). Strong understanding of data reconciliation, model tuning, and dealing with gross errors in industrial data is also required. Work Location and Work Schedule Work location: Within Saudi Arabia – To be specified in Job offer Work schedule: Full Time - To be specified in Job offer Job Posting Duration Job posting start date: 02/16/2026 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging a

Bachelor’s degree in Chemical Engineering. Minimum 15 years of experience in Process Simulations, Online Modeling, or Real-Time Optimization (preferably ROMeo). 20 years of experience is preferred. Demonstrated expertise in process engineering and flowsheet-based process simulation. Preference for Equation Oriented simulation. Comprehensive understanding of refinery facilities, feedstock/product movements, margins, yields, and mass and energy balances. Experience connecting simulations to live data sources (Data Historians, OPC, etc.). Strong understanding of data reconciliation, model tuning, and handling gross errors in industrial data.

Lead the development, deployment, and sustainment of Process Simulation Twins (PST) that integrate real-time process data with equation-oriented or sequential simulation engines. Configure and troubleshoot connectivity between plant historians, laboratory information systems, and simulation software for data ingestion and reconciliation. Use PST to automatically monitor facility health and detect deviations to identify opportunities. Develop and maintain thermodynamic models and equations representing process behavior (including heat exchanger fouling, catalyst decay). Conduct offline studies with PST for debottlenecking and what-if scenarios. Serve as technical liaison between data teams and Operations/Process Engineering, leading sessions on model architecture, data quality, and commissioning. Lead process optimization sessions to debottleneck CDU/VDU, Hydrocrackers, Catalytic crackers, Diesel Hydrotreaters, Isomerization. Benchmark process optimization KPIs across facilities and develop programs, processes, guidelines, and best practices. Provide SME support to Operations, Maintenance, and Engineering teams through consultations, awareness sessions, and technical exchanges.