HPC Computational Scientist

Position Summary

• We are seeking a highly motivated and skilled HPC Computational Scientist to join our team.
• The successful candidate will be responsible for providing expert support in compiling, running, debugging, and optimizing internally developed codes on high-performance computing (HPC) systems, like Shaheen III CPUs and GPUs partitions.
• Provide a broad range of support for users of laboratory systems and their software applications.
• This includes but is not limited to:
• Directly supporting research and enablement activities on KSL HPC systems in computational science and engineering, big data analysis, artificial intelligence/machine learning, or any related field.
• Providing expertise in the area of HPC applications and libraries installation, porting, and performance tuning and optimization to run efficiently on CPU and GPU architectures
• Developing, delivering, updating, and supporting all aspects of training, user documentation, and internal documentation.
• HPC applications and software tools development as necessary to support enablement activities of research conducted by users on the KSL HPC clusters and supercomputer.
• Working closely with end users (faculty, researchers, collaboration partners, and industrial partners) to meet their research objectives in collaborative research projects.
• Major Responsibilities – include but are not limited to -
• Support enablement activities for research work in computational science and engineering and data analysis including but not limited to:
• Provide timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
• Maintain high customer service standards in dealing with and responding to user issues and questions.
• Installation, porting and tuning of high performance applications, tools and data analysis software stack
• Maintain scientific, technical and professional currency through collaboration, practice, training, conferences, independent learning, and other means.
• Maintain a broad knowledge of state-of-the-art computer technology, equipment, and systems and support benchmarking activities in the lab for future procurements.
• Review and prepare documentation for systems, tests and installation of software
• Provides individual and/or group instruction and training on topics of interest to the user community.
• Develop software tools and parallel application libraries as necessary to support the research projects in the cluster systems and subsystems.
• Develop software application benchmarks for periodic upgrades of laboratory systems.
• Articulate and pursue research activities aligned with the laboratory and with personal strengths and interests; pursue co-authorship of papers/presentations as appropriate; engage in scientific communication and outreach.

Competencies

• Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments.
• Demonstrated ability to support research activities in an HPC environment
• Demonstrated ability to work successfully in a highly collaborative research environment
• Proficiency in programming HPC applications and tools (e.g. Fortran, C/C++, Python, MPI, OpenMP, CUDA, OpenACC, etc.).
• Track record of publications in computational science and engineering and data analysis journals and conferences
• Strong team player with a track record of initiative and responsiveness.
• Excellent analytical, problem solving and decision-making skills
• Creative and innovative individual
• Organizational understanding and global thinking
• Flexible and delivers high-quality results within deadlines
• Planning and organizational skills
• Has knowledge of commonly used concepts, practices, and procedures within the related field of expertise
• Knowledge of project management principles and practices
• Ability to work in teams and achieve results.
• The ability to handle multiple projects simultaneously.
• Ability to work effectively in multi-cultural environment
• Demonstrated ability to prepare written and to give oral reports in English
• Strong verbal and written communication skills in English

Education requirement, minimum

Experience requirement, minimum

• Five years’s experience using and supporting large scale computing platforms and related subsystems.
• Some relevant experience in computational science and engineering or any closely related discipline
• Experience in parallel computing and with storage systems
• Previous research experience in one or more of the following areas is also required:
• Performance modeling including simulation or analytical modeling or tuning of HPC codes
• I/O, Data management, Data Compression
• Emerging architectures including heterogeneous computing, memory systems;
• Node-level programming environments with experience in CUDA, OpenCL, OpenACC/OpenMP compiler directives;
• Distributed system programming models like MPI, one-sided asynchronous programming models
• Experience with computing at scale is desired (for example, computing on a system of the Top500 list).