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Introduction
Elite Process Simulation Twin & Optimization Engineer Saudi Aramco 2026 | Advanced Refinery Digitalization & Process Engineering Career is an exceptional engineering and industrial digital transformation opportunity offered by Saudi Aramco, one of the world’s largest integrated energy and chemicals companies and a global leader in refining, manufacturing excellence, and process innovation.
This highly specialized position is ideal for experienced refinery process engineers, simulation experts, digital twin specialists, and optimization professionals with extensive expertise in process modeling, thermodynamics, refinery operations, real-time optimization, data integration, and advanced analytics.
The Process Simulation Twin & Optimization Engineer Saudi Aramco 2026 role offers a unique opportunity to develop and sustain refinery digital twins, optimize plant performance, integrate AI-driven analytics, and support operational excellence across Aramco’s global downstream manufacturing portfolio.
Process Simulation Twin & Optimization Engineer Saudi Aramco 2026 – Job Overview
- Job Title: Process Simulation Twin & Optimization Engineer
- Job Req ID: 17346
- Organization: Saudi Aramco
- Department: Reliability Solutions Department (RSD)
- Business Unit: Global Manufacturing Excellence Center (GME)
- Industry: Refining, Manufacturing Excellence & Digital Transformation
- Location: Saudi Arabia
- Employment Type: Full-Time
- Job Category: Process Engineering & Industrial Optimization
- Education Required: Bachelor’s Degree in Chemical Engineering
- Experience Required: Minimum 15 Years
- Preferred Experience: 20+ Years
- Application Status: Open
- Job Posting Date: 16 February 2026
- Application Closing Date: 31 December 2026
About Saudi Aramco
Saudi Aramco is one of the world’s leading integrated energy and chemicals companies, recognized globally for operational excellence, innovation, refining leadership, and technological advancement. The company operates across the full hydrocarbon value chain and continues to invest heavily in manufacturing excellence, digital transformation, artificial intelligence, and industrial optimization initiatives.
Through its Global Manufacturing Excellence Center (GME), Saudi Aramco drives operational performance improvements, digital innovation, refinery optimization, and sustainable manufacturing practices across its global downstream portfolio.
Process Simulation Twin & Optimization Engineer Responsibilities
- Lead the development, deployment, and sustainment of Process Simulation Twins (PSTs)
- Integrate real-time process data with advanced simulation engines
- Develop equation-oriented and sequential process simulation models
- Configure connectivity between plant historians, laboratory systems, and simulation platforms
- Troubleshoot process data integration and reconciliation issues
- Perform automated process monitoring using digital twin technologies
- Identify operational inefficiencies and performance improvement opportunities
- Develop and maintain rigorous thermodynamic process models
- Model refinery operating conditions including catalyst decay and heat exchanger fouling
- Conduct offline engineering studies and process performance investigations
- Perform debottlenecking analyses for refinery process units
- Evaluate “what-if” operational scenarios using digital twin environments
- Serve as the technical liaison between data science and process engineering teams
- Lead technical workshops on model architecture and data quality management
- Support commissioning and validation of refinery digital twin systems
- Lead process optimization sessions across multiple refinery assets
- Optimize key refinery units including CDU, VDU, Hydrocrackers, FCC Units, Diesel Hydrotreaters, and Isomerization Units
- Benchmark optimization KPIs across multiple operating facilities
- Develop best practices, standards, and optimization methodologies
- Provide technical consulting support to Operations, Maintenance, and Engineering teams
- Participate in technical conferences, workshops, and knowledge-sharing initiatives
- Support AI-enabled refinery performance improvement programs
Educational Qualifications & Requirements
- Bachelor’s Degree in Chemical Engineering is mandatory
- Minimum 15 years of experience in Process Simulation, Online Modeling, or Real-Time Optimization
- 20+ years of industry experience is preferred
- Strong expertise in refinery process engineering and simulation technologies
- Experience with Equation-Oriented process simulation platforms preferred
- Knowledge of Real-Time Optimization (RTO) systems such as ROMeo is highly desirable
- Deep understanding of refinery process operations and performance management
- Strong knowledge of feedstock movements, product yields, margins, and energy balances
- Experience connecting simulation systems with live industrial data sources
- Knowledge of OPC systems, process historians, and industrial data infrastructures
- Strong expertise in data reconciliation and model tuning methodologies
- Experience identifying and resolving industrial data quality issues
- Excellent communication and cross-functional collaboration skills
- Ability to lead multidisciplinary technical teams and optimization projects
Professional Experience Requirements
- Minimum 15 years of refinery process simulation experience
- Experience developing and maintaining digital twin technologies
- Background in refinery process optimization and performance improvement
- Experience working with real-time operational data systems
- Strong refinery operational knowledge across multiple process units
- Experience conducting process troubleshooting and root-cause analysis
- Knowledge of refinery economics and process yield optimization
- Experience leading cross-functional engineering projects
- Exposure to AI-enabled industrial analytics and digital transformation initiatives
- Experience supporting large-scale manufacturing excellence programs
Key Skills Required
- Process Simulation
- Digital Twin Technology
- Refinery Process Optimization
- Chemical Engineering
- Thermodynamic Modeling
- Real-Time Optimization (RTO)
- ROMeo Software
- Process Engineering
- Data Reconciliation
- Industrial Data Analytics
- Artificial Intelligence Integration
- Process Monitoring
- Debottlenecking Analysis
- Mass & Energy Balances
- Model Tuning
- Industrial Digitalization
- Operational Excellence
- Technical Leadership
Benefits of Working at Saudi Aramco
- Work with one of the world’s leading energy and refining organizations
- Participate in cutting-edge refinery digitalization initiatives
- Exposure to world-scale manufacturing excellence projects
- Competitive compensation and executive-level benefits package
- Access to advanced process engineering and AI technologies
- Professional development and technical leadership programs
- Opportunities to influence global refinery performance strategies
- Multicultural and highly collaborative working environment
- Exceptional long-term career growth opportunities
Career Growth Opportunities
- Senior Process Simulation Engineer
- Digital Twin Program Manager
- Manufacturing Excellence Manager
- Lead Process Optimization Engineer
- Refinery Technology Manager
- Director of Manufacturing Excellence
- Vice President – Refining Technology
- Chief Technology Officer (CTO)
A Day in the Life of a Process Simulation Twin & Optimization Engineer
A Process Simulation Twin & Optimization Engineer spends the day monitoring refinery digital twins, analyzing process performance data, optimizing refinery operations, conducting engineering studies, troubleshooting process deviations, validating simulation models, collaborating with operations teams, and developing AI-enabled solutions that improve refinery efficiency, reliability, and profitability.
Frequently Asked Questions (FAQs)
1. Which company is hiring for this role?
Saudi Aramco is hiring for the Process Simulation Twin & Optimization Engineer position.
2. What educational qualification is required?
A Bachelor’s Degree in Chemical Engineering is required.
3. How much experience is needed?
Candidates must possess a minimum of 15 years of relevant experience, with 20 years preferred.
4. Is refinery experience mandatory?
Yes, significant refinery process engineering and optimization experience is essential.
5. What technologies are important for this role?
Digital Twins, Process Simulation Software, ROMeo, Data Historians, OPC Systems, AI Analytics, and Real-Time Optimization technologies are highly important.
Why This Job Stands Out
- Work on advanced refinery digital twin technologies
- Combine process engineering with AI-driven optimization
- Influence operational excellence across global refining assets
- Lead high-impact refinery performance improvement initiatives
- Collaborate with world-class engineering and digital teams
- Access cutting-edge industrial technologies and innovation programs
- Develop expertise in manufacturing excellence and digital transformation
- Enjoy exceptional global career advancement opportunities
How to Apply
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Focus Keyword
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Conclusion
Process Simulation Twin & Optimization Engineer Saudi Aramco 2026 offers a remarkable opportunity for experienced refinery professionals to work at the intersection of process engineering, digital twin technology, artificial intelligence, and operational excellence. With responsibilities spanning refinery optimization, thermodynamic modeling, real-time analytics, and digital transformation initiatives, this role provides outstanding career growth, technical leadership opportunities, and exposure to some of the most advanced refining operations in the world.
Internal Links
- Saudi Aramco Careers 2026
- Chemical Engineering Jobs Saudi Arabia 2026
- Refinery Jobs Middle East 2026
- Process Engineering Careers Saudi Arabia
- Oil and Gas Engineering Jobs 2026