Fortran Developer with background in Math

About the Position

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain. This role focuses on building, integrating, and hardening a Bayesian Optimization (BO)–based engine for optimization in petroleum surface networks.

Responsibilities6

• Implement and integrate Bayesian Optimization workflows within the existing NEXUS surface network optimization framework
• Develop and maintain Gaussian Process–based surrogate models used during optimization runs
• Integrate acquisition functions that support reliable decision-making across challenging objective landscapes
• Implement initial sampling strategies to ensure stable and repeatable optimization outcomes
• Contribute to performance tuning, memory efficiency, and parallel execution in large simulation workloads
• Improve code robustness, testability, and maintainability in a long-lived product codebase

Requirements12

• Fortran 90/95
• Experience working with modules, allocatable arrays, and structured Fortran code
• Ability to modify and extend existing numerical code responsibly
• Numerical linear algebra fundamentals
• Practical use of Cholesky decomposition and triangular solves
• Experience using LAPACK routines
• Awareness of numerical stability and basic conditioning issues
• Understanding of Gaussian Process concepts
• Ability to implement or adapt GP prediction code with guidance
• Familiarity with acquisition functions such as Expected Improvement (EI) and Upper Confidence Bound (UCB)
• Understanding of exploration vs. exploitation from a user-outcome perspective
• Experience implementing or using space-filling designs for initial parameter exploration