Computational Scientist

Exxon Mobil; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

ExxonMobil in Bengaluru, India, invites applications for a research‑oriented role in computational science engineering. You will frame business problems, develop physics‑based and data‑driven models, and advance high‑performance computing solutions that balance accuracy with efficiency.

The position requires a Master’s/PhD in engineering or related fields, strong programming skills (C++/Python), and experience with multiscale or multiphysics modeling.

Responsibilities

• Collaborate across global teams and with third parties to assess and accelerate computational science technology.
• Frame business needs, develop physics-/data-driven solutions balancing accuracy and runtimes.

Job description

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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 .

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 and Qualifications

• Master’s or PhD degree from a recognized university in Engineering/Applied Mathematics/Geoscience/Computational Science with a GPA 7.0 and above (out of 10.0).
• For candidates with only master’s degree, minimum 3 years of relevant work experience is required.
• 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 physics-based simulators and computational modeling.
• Familiarity with surrogate modeling for optimal design and inverse problem-solving is preferred but not mandatory.
• Exposure to hybrid modeling approaches combining data-driven and physics-based methods using machine learning tools (e.g., TensorFlow, PyTorch, Scikit-learn)
• Knowledge of deep learning techniques for advanced data analysis and modeling challenges is preferred but not mandatory.
• Strong proficiency in programming/scripting languages like C++/C# or Python.
• Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
• 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.

Functional Skills

Continuous Mathematical Optimization

Multi scale or Multi physics modeling

High Performance Scientific Computing

Multi-fidelity AI Surrogates

Mathematical Framing of Business Problems

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

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.

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