Job description / Role
Aramco energizes the world economy.
Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity 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.
We are seeking a scientific programmer to help Reservoir Simulator Code Developers to join the Strategic Modeling Technology Division (SMT) under the Petroleum Engineering & Development organization (PE&D).
SMT is developing the next generation parallel reservoir and basin simulator for Saudi Aramco, which aims to handle gigantic hydrocarbon reservoirs with sufficient spatial resolution.
The incumbent will be responsible for assisting developing, extending, enhancing and maintaining reservoir simulator code. Also, conduct applied research in the fields of high performance computing, numerical methods of partial differential equations (PDEs), and hydrocarbon reservoir modeling.
The incumbent will be working with a diverse scientific team located in Dhahran, Saudi Arabia.
Assist developers in programming , maintain, and enhance code for portions of the company's in-house reservoir simulator
- Contribute to new ideas and projects, and participate in existing efforts
- Train and provide technical support for reservoir engineers in scientific programming
- Participate in national and international professional societies, as well as have the ability to communicate and steer practical research in various international R&D organizations.
- Participate in preparing technical papers for professional societies local and/or international technical meetings, conferences, forums and workshops.
Candidates should have preferably a B.Sc or or a M.Sc degree in Engineering or Science, with experience and interest in coding numerical methods of partial differential equations. Experience in parallel scientific programming is required, with at least strong knowledge in one of the following languages: C++, C or FORTRAN. Background in oil & gas industry is a plus.
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.
About the Company
Saudi Aramco is an integrated global energy enterprise. The company markets and exports crude oil, petroleum products, natural gas liquids and sulfur. It also ships crude oil worldwide through an affiliated company and participates in petroleum refining and marketing activities at home and abroad. Its overseas affiliates are in the United States, Egypt, the Philippines, the Republic of Korea and Japan.
Saudi Aramco's subsidiaries span the globe, with offices in Houston, Washington, New York, London, Leiden, Dubai, Singapore, Beijing, Hong Kong, Tokyo and Seoul.