Computational Research Expert - Mexico City - Aramco

    Aramco
    Aramco Mexico City

    hace 1 semana

    Descripción

    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 Computational Research Expert with a strong background in Optimization and Control Theory to join our Research & Development Center (R&DC).

    R&DC conducts strategic research, development and demonstration programs in support of Aramco's drive for innovation.

    Your primary role is to accelerate the deployment of next-generation technologies by building scalable digital platforms powered by emerging computing paradigms. You will also enable transformative solutions that focus on addressing critical challenges in CO₂ reduction and sustainable energy systems.



    Key Responsibilities



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

    • Designing and implementing advanced optimization and control frameworks to solve large-scale, multi-objective energy challenges.
    • Identify collaboration opportunities with leading institutes and organizations
    • Liaise with key stakeholders to ensure in-house technology options deployment.
    • Collaborate with cross-functional teams and provide technical guidance and mentorship.
    • Contribute to technical documentation, patents, and publications


    Minimum Requirements

    • As a successful candidate you will hold a Bachelor degree in Science or Engineering. A PhD is also required.
    • You should have a minimum of 5 years of experience.
    • You will have a proven record pf conducting advanced technical projects with an ability to connect with basic science research with industrial applocations.
    • You will have skills in Differentiable programming, Computational Fluid Dynamics, Optimization algorithms, Adjoint method, Generative AI, High performance computing. Coding skills in in JAX, Pytorch, Julia, C++ are also necessary.


    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: 12/18/2025

    Job posting end date: 12/31/2026



    Working environment

    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.


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