Reservoir Engineering and Simulation Development Engineer

Supports clients/customers and assists with functional projects under regular supervision. Teaming with US-based R&D groups focusing on developing and deploying reservoir simulation and optimization products and workflows Targeted user-experience and data management development, e.g., GUI, Power-BI, data engineering, machine learning engineering, and mature digital MVPs (Minimal Viable Products) Application testing, pipeline, build and release in cloud platform Application run, maintain and user support Development of technical software and training documentation Coaching and mentoring Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm. BSc/MSc degree in Petroleum Engineering or related areas At least three years of experience in Petroleum Engineering or related industry Demonstrated fluency in engineering software development, including python, C#, C++, HPC (MPI, GPU, threading), cloud computing frameworks, Azure ecosystems developments (pipelines, dashboards, visualization, data management systems) Understanding of physical process associated with subsurface flow and the relationship to the governing model equations required for subsurface flow simulations Understanding of subsurface uncertainty analysis and optimization technologies and workflows, such as design of experiments and history matching Ability to integrate reservoir simulation & optimization workflows & engines with cloud platforms & services (DELFI, OSDU, RESQML) Experience of customer support and understanding of subsurface business needs and utilizing SAFe agile processes to implement highly prioritized features Good communication skills and work effectively in a team environment Familiarity with reservoir simulation, uncertainty & optimization (U&O) workflows, Intersect, Petrel-RE, and Petroleum Experts IPM is preferred but not a must Skills of using ML/AI to accelerate performance, and accuracy of reservoir simulation & optimization is preferred but not a must Direct experience with flow-geomechanics coupling, surface-subsurface coupling, unconventional reservoirs, uncertainty analysis, optimization, computational geosciences, fracture modeling, discretization, gridding, improved/enhanced/chemical oil recovery is a plus but not a must