Experienced Reservoir Technology Development Engineer

 

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

 

•  Develop and deploy new technology aimed at step-change opportunities to improve recovery in deepwater assets
• Advance distributed sensing technologies for reservoir surveillance and reservoir management applications
• Develop proprietary algorithms using physics-based methods and machine learning and supporting experimental validation.
• Contribute to the commercialization of analysis software and downhole technology solutions in collaboration with third-party partners
• The position is located at ExxonMobil campus in Spring, Texas

 

What you will do

 

• Develop and optimize advanced Python algorithms for fiber optic signal processing and interpretation.
• Apply physics-based modeling, neural networks, and machine learning to extract insights from complex sensor data.
• Support experimental design, data acquisition, and analysis for downhole sensing systems.
• Collaborate with internal teams and external vendors to transition prototypes into commercial software products.
• Document technical workflows, contribute to IP generation, and support technical publications.

About you

 

Skills and Qualifications 

 

• Degrees & certifications required for the job should be listed here, listing ‘B.S. or equivalent work experience’ in this section is acceptable if an actual degree is not required.

• Advanced degree (Ph.D.) in Engineering (Petroleum, Chemical, Mechanical, Electrical)

• 10+ years of experience in technology development for reservoir engineering

• Experience with fiber optic sensing technologies, signal processing, or distributed sensing technologies.

• Solid understanding of physics-based modeling and computational methods.

• Strong proficiency in Python, including experience with scientific and numerical libraries

• Ability to work independently and collaboratively in a fast-paced R&D environment.

 

Preferred Qualifications/ Experience

• Detail the preferred/desired skills/knowledge applicable to the position