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Manager, Waste Program Oversight
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Added 15 hours ago
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Lead Scheduling Engineer (Relocation to Saudi Arabia is required.)
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Linear Programming Engineer- Candidate must relocate to Saudi Arabia
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aramco

Linear Programming Engineer- Candidate must relocate to Saudi Arabia

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 27, 2026
Experience: You will have 15 years experience in refining Linear Programming, including at least 10 years in Linear Programming modeling, optimization, and economics.
Posting language: English
Posted: Oct 28, 2026

Original job description

Candidate must relocate to Saudi Arabia.

Overview

We are seeking a Refining & Optimization Specialist with specialization in the use of linear programming (LP) tools for the optimization of refining process units to join our Operation Engineering Solutions Department.

The Operation Engineering Solutions Department, under Global Manufacturing, is responsible for providing specialized and timely operations and process engineering support to all process technologies operated in both wholly-owned and affiliated refining and chemicals operating facilities, collectively known as Saudi Aramco Global Manufacturing. The department steers and stewards refining and petrochemical optimization, performance benchmarking, technology stewardship, and engineering best practices across the Global Manufacturing portfolio.

Your primary role is to deliver expert optimization and economic advisory services to wholly-owned and affiliated refining and chemicals facilities, ensuring that Linear Programming models reliably represent reality, drive margin uplift across the portfolio, and inform strategic and capital decision-making at the corporate level.

Key Responsibilities

As the successful candidate you will be required to perform the following:

Conduct process optimization studies on assets to identify business opportunities
Analyze Product giveaway root causes and develop solutions through working with multidisciplinary team to ensure optimum operations.
Review hydrocarbon losses of assets and analyze the root causes including but not limited to; flaring, unreliability events and unaccounted losses
Perform comprehensive technical and economic evaluations of projects and opportunities using Net Present Value, Internal Rate of Return, and other financial metrics, supporting decision-making from screening through closure and prioritizing initiatives against investment criteria and downstream strategy.
Provide expert technical advisory support to refining leadership on Linear Programming and optimization matters, including crude selection, product slate, process unit configuration, and operational constraints, communicating results and recommendations to ensure successful implementation and monitoring of actions.
Coordinate and collaborate across technical, planning, scheduling, and economics functions to ensure alignment and integration of Linear Programming assumptions, results, and objectives.
Deliver training and coaching to refining Linear Programming users, and develop and update Linear Programming manuals and guidelines to ensure compliance with established standards and procedures.

Minimum Requirements

You will hold a Bachelor's degree in Chemical Engineering or related specialization from a recognized and approved program. An advanced degree is preferred.
You will have 15 years experience in refining Linear Programming, including at least 10 years in Linear Programming modeling, optimization, and economics. Additionally, you must possess extensive hands-on experience in refining process engineering, with a primary background in a complex main unit such as Continuous Catalytic Reforming (CCR) or Hydrocracking.
You will have supplementary experience in refinery overall optimization and monitoring including management of product giveaway, blending applications and mass balance performance.
You will have hands-on refining Linear Programming experience as a core requirement; petrochemicals or chemicals Linear Programming exposure is preferred as an additional strength.
You must have demonstrated proficiency in industry-standard Linear Programming modeling platforms (for example, Aspen PIMS, PIMS-AO, PIMS Platinum, Haverly GRTMPS, Honeywell RPMS) and in supporting tools for crude assay management and sub-model maintenance. Please specify the platforms and tools used in your application.
You will be able to demonstrate Linear Programming modeling experience across multiple, diverse refining configurations, including atmospheric and vacuum distillation, fluid catalytic cracking, hydrocracking, continuous catalytic reforming, aromatics, and hydroprocessing. Single-site or single-configuration experience is not acceptable.
Hands-on refining Linear Programming technical service experience is a requirement; experience predominantly on the licensor side or in Linear Programming-related project or design work will not be considered.
You must have a proven track record of applying Linear Programming models to drive significant improvements in refining margin, with specific quantified examples such as margin uplift, crude diet flexibility, product slate optimization, or energy cost reduction.
Extensive knowledge of refining processes and economics, together with familiarity with global crude and product markets and trends, is required.

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.

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More about this job

Responsibilities

Conduct refinery optimization studies, analyze product giveaway and hydrocarbon losses, and evaluate projects using financial metrics to identify and prioritize value-creating opportunities. Advise refining leadership on LP models and optimization decisions, coordinate across technical and planning functions, and train users while maintaining LP standards and guidelines.

Requirements

Requires a bachelor's degree in Chemical Engineering or a related specialization and 15 years of refining LP experience, including at least 10 years in modeling, optimization, and economics; an advanced degree is preferred. Candidates need hands-on experience across diverse refinery configurations, strong refining process and market knowledge, proficiency with industry LP platforms, and a demonstrated record of quantified margin improvements.

Skills

Linear Programming
Refinery Optimization
Refining Process Engineering
Economic Evaluation
Net Present Value
Internal Rate Of Return
Crude Selection
Product Slate Optimization
Product Giveaway Analysis
Hydrocarbon Loss Analysis
Mass Balance
Blending
Aspen PIMS
PIMS-AO
Haverly GRTMPS
Honeywell RPMS

Visa sponsorship

Not detected in the job text

Keywords

Linear Programming
Refining
Refinery Optimization
Aspen PIMS
PIMS-AO
PIMS Platinum
Haverly GRTMPS
Honeywell RPMS
Crude Assay Management
Sub-Model Maintenance
Continuous Catalytic Reforming
Hydrocracking
Atmospheric Distillation
Vacuum Distillation
Fluid Catalytic Cracking
Aromatics
Hydroprocessing
Product Giveaway
Blending
Mass Balance
Net Present Value
Internal Rate Of Return
Refining Economics
Crude Selection
Product Slate Optimization
Margin Uplift
Hydrocarbon Losses
Flaring
Operational Constraints
Capital Decision-Making

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