Optimization Engineer

Chevron is accepting online applications for the position Optimization Engineer through March 22, 2026 at 11:59 p.m. (Central Time).

At Chevron, an Optimization Engineer uses operations research which is a mathematical science concerned with optimal decision making and the modeling of deterministic and probabilistic systems. Its focus and field of application are interdisciplinary, embracing a broad range of quantitative techniques. Operations research provides a rational approach to engineering and managerial problem solving through deliberate application of scientific methods. The function of the optimization engineer at chevron is to guide decision making by decomposing business problems into mathematical frameworks, developing and proposing courses of action, establishing appropriate metrics and objectives to optimize, and evaluating total system effects.

Responsibilities for this position may include but are not limited to:

• Develop and implement optimization models to solve complex business problems, including the mathematical formulation of objectives, constraints, and decision variables.
• Collaborate with cross-functional teams to gather requirements and translate them into optimization frameworks.
• Maintain and enhance existing optimization models to ensure they align with changing business needs.
• Conduct performance testing and troubleshooting to ensure the efficiency and effectiveness of optimization solutions.
• Provide technical support and training to users on optimization tools and techniques.
• Document optimization processes, models, and solutions for future reference and training.
• Strong business acumen and ability to understand and address business needs.
• Excellent communication and presentation skills.

Secondary Responsibilities:

• Stay updated with the latest advancements in optimization techniques and tools.
• Participate in code reviews and contribute to the continuous improvement of the optimization team's practices.
• Assist in the development of data storage solutions and integration with optimization models.
• Support the deployment and maintenance of optimization models in production environments.

Required Qualifications:

• Proficiency in optimization modeling languages and environments (e.g., Gurobi, PuLP, Ampl, OR tools).
• Strong understanding of mathematical programming and heuristic optimization methods including linear programming, mixed integer programming, non-linear programming, and stochastic programming.
• Experience with data storage solutions such as Azure Data Lake, Blob Storage, and SQL Server.
• Advanced skills in Python programming and object-oriented programming.
• Familiarity with CI/CD pipeline development and maintenance.
• Bachelor's or master's degree in industrial engineering, Applied Mathematics OR a graduate degree in a related field with operations research course work (Economics, data science, etc).
• 5+ years of experience in building and maintaining mathematical optimization models.

Preferred Qualifications:

• Experience with Power BI for reporting and data visualization.
• Knowledge of cloud environments and their application in optimization solutions.
• Understanding of economic calculations and constraint calculations in optimization models.
• Ability to work well with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Experience with integrated development environments and simulation techniques.
• Experience in the oil and gas industry or a related field.
• Understanding of supply chain management and logistics.

Relocation Options:

Relocation will not be considered.

International Considerations:

Expatriate assignments will not be considered.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

Houston, Texas


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