Senior Well Engineering Modeling & Simulation Technologist

About Landmark

Landmark, a Halliburton business line, provides the industry’s most comprehensive suite of digital solutions for exploration, drilling, and production optimization. Its software and data platforms empower customers to model subsurface assets, manage drilling risk, and accelerate decision-making through cloud, AI, and advanced analytics.

About the Role

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.

Qualifications

Required

• 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 Benefits

Core Competencies

Well 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