Computational Scientist: Physics & ML for Energy Tech

Exxon Mobil; Spring (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Pension Plan

Savings Plan

Workplace Flexibility

Medical, dental, and vision plans

Culture of Health

Employee Health Advisory Program

Disability Plan

Job summary

Exxon Mobil seeks a highly skilled Computational Scientist to develop and analyze physics-based and data-driven models for the oil and gas industry. You will collaborate across disciplines and partners to translate complex simulations into actionable insights.

The role emphasizes advanced modeling, ML applications, and solving optimization problems with uncertainty in a Linux/HPC environment. Strong communication across teams is essential.

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 mathematical modeling, scientific computing, and numerical analysis.
• Hands-on experience with deep learning and architectures and their industrial application.
• Experience with surrogate modeling to reduce computational cost while maintaining accuracy.
• Experience formulating and solving convex and PDE constrained optimization problems.
• Strong programming in Python or C++/C# and ML frameworks like PyTorch, TensorFlow, scikit-learn.

Responsibilities

• Work across global, cross-disciplinary teams and third parties to accelerate computational science tech development.
• Frame challenges from business needs and develop physics+data solutions balancing accuracy and runtime; manage uncertainty.

Skills

Python

C++

Deep learning

Multiphysics modeling

Uncertainty quantification

Data-driven modeling

PDE optimization

Linux

High-Performance Computing

Education

PhD in Engineering, Applied Mathematics, Geoscience, Computational Science, or related field

Tools

PyTorch

TensorFlow

scikit-learn

Databricks/Spark

Job description

Exxon Mobil seeks a highly skilled Computational Scientist to develop and analyze physics-based and data-driven models for the oil and gas industry. You will collaborate across disciplines and partners to translate complex simulations into actionable insights.

The role emphasizes advanced modeling, ML applications, and solving optimization problems with uncertainty in a Linux/HPC environment. Strong communication across teams is essential.