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Purpose and Accountabilities

The 4th industrial revolution (digitalization) is shaping Shell’s energy transition. The energy company of the future will be powered, at an unprecedented scale, by sophisticated data centric and computational simulation algorithms crafted through AI, deep learning (DL), machine learning (ML), computational physics and advanced visualization (VR, AR).
Shell plans to have access, in 2022, to a top-tier High-Performance-Computing (HPC) facility to enable the discovery of new resources and the creation of data driven algorithms dedicated to solving our most challenging business opportunities.

Do you want to be part of this revolution in Shell?
If interested, Shell is currently assembling a technical team of extremely talented and passionate computational scientists to realize its full digital potential. As a member of the team, your typical day will involve working side-by-side with accomplished software engineers, world-class researchers, data scientists and domain experts.
The team focuses on the delivery of faster and better business decisions through Digital and Computational algorithms. The team relies heavily on its depth of expertise in High-Performance-Computing. The work will consist primarily in improving existing computational and AI-ML workflows and in developing new ones to reach best price performance, by leveraging the latest advancements in both Software and Hardware technologies. The embedding of State-of-the-art visualization technologies in workflows to derive additional insights for better decision making is also part of the work. Solutions provided by our team have been deployed in various Shell products across both the Upstream and Downstream businesses.

Accountabilities:
• Collaboration with diverse technology groups in Shell to identify performance optimization and parallelization opportunities for faster business decisions
• Deliver performance optimizations for Digital and Computational workflows
• Build deep understanding of the next generation technology roadmap and its impact on Shell workflows and applications

Dimensions:
• Individual contributor
• Pro-active, thoughtful contributor, able to work independently and in natural teams with multiple stakeholder groups across P&T, IT, business verticals and externally

Skills and Requirements
Mandatory Skills:
• Development experience in one or more parallel programming environments such as MPI, OpenMP etc.
• Development experience with one or more HPC accelerator programming environments such as Nvidia GPUs, Intel Xeon Phi, FPGAs etc.
• Demonstrated experience with performance optimization of scientific applications/AI-ML workflows
• Knowledge of AI-ML workflows
• Knowledge of modern HPC systems, CPU/GPU architectures and execution models
• Programming knowledge of C, C++, Fortran, or Java and understanding of data structures and Algorithms
• Minimum Bachelor’s Degree in Computer Science/Maths/Engineering/Science

Desired Skills:
• Proficiency in Linux Shell/Perl/Python scripting
• Experience with performance tools such as Intel Vtune, NVIDIA Nsight
• Experience with AI-ML Frameworks such as TensorFlow, PyTorch, Keras, CAFFE
• Knowledge of scientific or numerical computing libraries such as Intel MKL
• Experience with parallel file systems
• Experience in porting applications for various compute infrastructures
• Good understanding of Cloud Computing environments such as AWS, Azure