Computational Scientist

ExxonMobil; Spring (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Pension Plan

Savings Plan

Workplace Flexibility

Medical, Dental, Vision plans

Wellbeing programs

Job summary

ExxonMobil seeks a highly skilled Computational Scientist to develop and analyze physics-based and data-driven models for oil and gas problems. You will collaborate across global teams and external partners to accelerate computational science technology.

The role focuses on balancing accuracy and runtime while incorporating uncertainty. The position requires a PhD in a related field, deep learning expertise, and strong programming skills in Python or C++.

Qualifications

• PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field.
• Experience in developing, applying, and analyzing physics-based models and related algorithms.
• Strong background in multiscale/multiphysics modeling, scientific computing, and numerical analysis.
• Hands-on experience with deep learning and architectures (autoencoder, transformer, diffusion model, GAN).
• Experience with surrogate modeling to reduce computational cost while preserving accuracy.
• Experience with convex and PDE-constrained optimization problems.
• Proficient in Python or C++/C#, and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with Linux and HPC environments; DevOps and software testing practices are a plus.
• Excellent communication for interdisciplinary collaboration.

Responsibilities

• Work across global, cross-disciplinary teams and with third parties to advance computational science tech.
• Frame business needs into computational challenges and develop physics-data integrated solutions.

Skills

Python

C++/C#

Deep learning

Surrogate modeling

Convex optimization

PDE-constrained optimization

Linux

HPC / High-performance computing

Data assimilation

Team collaboration

Education

PhD in Engineering/Applied Math/Geoscience/Computational Science

Tools

Databricks/Spark

PyTorch

TensorFlow

scikit-learn

Job description

About Us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

About Houston

ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company’s ability to attract, develop and retain the top talent in the industry.

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research, and corporate facilities.

Learn More About What We Do In Houston Here.

What role you will play in our team

We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.

What You Will Do

• Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
• Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.

Skills & Qualifications

• PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field.
• Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
• Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
• Hands-on experience with deep learning, including familiarity with a range of architectures (e.g., autoencoder, transformer, diffusion model, GAN) and their application to industrial, engineering, or scientific problems.
• Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational cost in decision-making processes (e.g., optimization, inverse problems, data assimilation) while maintaining fit-for-purpose accuracy.
• Experience in formulating and solving convex and PDE constrained optimization problems.
• Strong proficiency in programming/scripting languages like Python or C++/C#.
• Proficiency in ML frameworks (PyTorch, TensorFlow, scikit-learn) experience with Databricks/Spark is a plus.
• Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
• Experience working in Linux and high-performance computing environment is desirable but not required.
• Prior experience in the upstream oil and gas industry is an advantage.
• Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.

Your Benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
• Workplace Flexibility: We have several programs such as Flex your Day, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
• Comprehensive medical, dental, and vision plans.
• Culture of Health: Programs and resources to support your wellbeing.
• Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
• Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

More information on our Company’s benefits can be found at www.exxonmobilfamily.com.

Please note benefits may be changed from time to time without notice, subject to applicable law.

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Alternate Location

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.