The Senior Well Engineering Modeling & Simulation Technologist does researches, develops and advances engineering models, numerical simulation capabilities, optimization methods, and software-based workflows for well design and drilling applications. The role strengthens Landmark's technical capacity to support existing products and customer commitments while accelerating the development of next-generation well-engineering technologies.
Working across technology, product, software development, and customer-facing teams, the technologist translates engineering theory and research into reliable product capabilities. Initial priorities may include gas migration and well-control modeling for a major customer initiative and the development of AI-enabled automated well-design and optimization workflows. The role creates value by improving model quality, accelerating science-to-product transition, and providing continuity for specialized well-engineering expertise.
Key Responsibilities- 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.
- Collaborate 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.
- Integrate security, data protection, traceability, and responsible technology considerations into new product and workflow designs in accordance with applicable development practices.
- Document and communicate model assumptions, governing principles, limitations, test results, and recommended applications to technical and nontechnical stakeholders.
- Contribute to technical continuity through knowledge sharing, peer review, mentoring, professional engagement, and participation in relevant industry or scientific communities.
QualificationsRequired- Undergraduate degree in Science, Engineering, or a similar technical discipline.
- Minimum of four years of related experience.
- Experience applying engineering or scientific principles to the development, implementation, or evaluation of technical models, simulations, products, or software-based workflows.
- 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.
- Ability to analyze complex technical problems, document assumptions and results, and communicate effectively with multidisciplinary technical teams.
- Ability to work with technology leadership, product teams, software developers, and technical customer stakeholders on projects of moderate scope and complexity.
Preferred- Master's degree or PhD in Science, Engineering, Applied Mathematics, or a related discipline.
- Experience in well engineering, drilling engineering, well control, gas migration, tubular design, wellbore mechanics, well integrity, or another closely related domain.
- Experience developing or maintaining scientific software using languages or tools such as Python, C++, C#, Fortran, MATLAB/Mathematica, or comparable numerical-computing technologies.
- Experience with Landmark EDT/DWP application suite or other well-design, drilling-engineering, multiphysics, geomechanics, flow-simulation, or engineering-optimization applications.
- 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.
World Class BenefitsAt Halliburton, we're committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs - now and in the future. When you join our team, you'll gain access to a wide range of programs designed to help you thrive at work and at home.
Click here to review a summary of the benefits available once you join.
Core CompetenciesWell Engineering | Drilling Engineering | Numerical Modeling | Numerical Simulation | Engineering Optimization | Scientific Computing | Engineering Software Development | Model Verification and Validation | Well Control | Gas Migration | Wellbore Mechanics | Tubular Design | StressCheck | Applied Mathematics | Python | C++ | AI-Enabled Engineering | Agentic AI | Physics | C# | Fortran | Research | Hydraulics | Torque and Drag | Well Trajectory | Mathematical modeling | Machine Learning | Fatigue modeling | Corrosion and Erosion | Geothermal | Multiphase flow modeling
Location3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States
Job DetailsRequisition Number: 211435
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full Time
Additional Locations for this position: Compensation InformationCompensation is competitive and commensurate with experience.
