Senior Optimization Engineer, Carbon Capture & Sequestration (Spring, TX, US, 77389)

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. 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. About Learn more about what we do in Houston here . What role you will play in our team As the senior optimization engineer on our CCS team, you will shape the optimization foundation of a rapidly growing carbon capture and sequestration system on the U.S. Gulf Coast, influencing billions of dollars of infrastructure and operational decisions through advanced mathematical modeling. As part of the Low Carbon Solutions business, you will work in a dynamic, startup-like environment that leverages ExxonMobil’s scale, technical expertise, and resources to rapidly develop and deploy energy transition solutions. This role extends beyond mathematical model development. You will work directly with business stakeholders to apply optimization tools to real-world decisions, deepen your understanding of the CCS value chain, and help develop software products that enable optimization capabilities across the organization. What you will do Build optimization models that support network expansion decisions, CO₂ transportation planning, storage allocation, capital investment prioritization, and day-to-day operational decision making. Design and build optimization diagnostics, validate model formulations and solution strategies, and continuously improve model performance, scalability, maintainability, and transparency. Partner with stakeholders across the CCS business to apply optimization models to strategic and operational challenges, communicate recommendations, and incorporate business feedback into future model capabilities. Collaborate with data scientists to develop, validate, and improve surrogate models representing complex or non-linear system behavior. Collaborate with data and software engineers to integrate optimization models into robust, user-friendly tools that can be deployed and utilized across the CCS organization. About you Skills and Qualifications Bachelor’s, Master’s, or Ph.D. degree in Engineering, Operations Research, Applied Mathematics, Computer Science, or a related quantitative field with a strong focus on optimization. Five or more years of experience developing mathematical optimization solutions, including designing, implementing, and maintaining large-scale optimization models. Experience should include model formulation, performance tuning, solution validation, and translating business problems into optimization frameworks. Strong Python programming skills, including experience developing and maintaining optimization applications using tools such as GurobiPy, Pandas, and related scientific computing libraries. Demonstrated ability to independently develop, validate, and maintain complex optimization models with limited supervision. Strong communication skills with the ability to explain complex technical concepts to non-technical audiences and discuss detailed implementation approaches with technical stakeholders. Demonstrated ability to rapidly learn new business domains and adapt within a fast-paced