Hiring: Senior Well Engineering Modeling & Simulation Technologist Company: Halliburton Location: Houston, TX Job Posted Time: 2026-09-15 11:31:58 Target Skills & Keywords : C#, C++, Fortran, MATLAB, Machine Learning, Python About the job Required Skills: •Develop advanced well-engineering models, numerical simulation methods, and optimization capabilities for well design, drilling, well control, and related engineering applications. •Translate scientific concepts, research findings, and engineering requirements into tested, maintainable, and commercially deployable software capabilities. •Design and evaluate automated well-design and optimization workflows, including appropriate use of AI-enabled or agent-based methods alongside established engineering models. •Execute technical work supporting gas migration and well-control modeling, including model formulation, numerical implementation, sensitivity analysis, and interpretation of results. •Maintain and enhance core engineering models used in related Landmark well-engineering technologies. •Verify and validate models and software implementations using engineering calculations, benchmark cases, field or laboratory information when available, and documented acceptance criteria. •Partner cross-functionally with software engineers, product managers, subject-matter experts, and customer-facing teams to define requirements, resolve technical issues, and prioritize product improvements. •Analyze customer and product needs and recommend technically sound solutions that balance engineering rigor, usability, performance, maintainability, and delivery requirements. Qualifications: •Undergraduate degree in Science, Engineering, or a similar technical discipline. •Minimum of four years of related experience. •Demonstrated capability in one or more of the following areas: numerical modeling, engineering simulation, applied mathematics, optimization, scientific computing, engineering software development or AI-assisted engineering workflows. •Demonstrated capacity to analyze complex technical problems, document assumptions and results, and communicate effectively with multidisciplinary technical teams. •Demonstrated capacity to work with technology leadership, product teams, software developers, and technical customer stakeholders on projects of moderate scope and complexity. •Master’s degree or PhD in Science, Engineering, Applied Mathematics, or a related discipline. •Exposure to machine learning, generative AI, agent-based systems, or AI-assisted engineering workflows, particularly where engineering constraints, model validation, and human technical oversight are important. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!