HPC Computational Scientist

Position Summary

User and Research Support

• Provide timely support through telephone, walk-in, email, and ticketing systems for user inquiries and issues.
• Work with faculty, researchers, collaboration partners, and industrial partners to meet research objectives.
• Provide individual and group instruction and training for the user community.
• Develop and maintain user, system, test, installation, and internal technical documentation.

HPC Applications and Development

• Install, port, tune, and optimize high-performance applications, tools, libraries, and data-analysis software for CPU and GPU architectures.
• Develop software tools and parallel application libraries to support research projects on cluster systems and subsystems.
• Develop application benchmarks for periodic laboratory system upgrades.
• Support benchmarking activities for future equipment and system procurements.

Research and Professional Practice

• Maintain scientific, technical, and professional currency through collaboration, practice, training, conferences, and independent learning.
• Pursue research activities aligned with laboratory priorities and personal strengths, including papers and presentations where appropriate.
• Engage in scientific communication and outreach.

Education and Experience

• A Ph.D. in computer science, computational science and engineering, or a closely related discipline is required.
• At least five years of experience using and supporting large-scale computing platforms and related subsystems is required.
• Relevant experience in computational science and engineering, parallel computing, and storage systems is required.
• Research experience may include performance modeling, HPC code tuning, I/O, data management, data compression, emerging architectures, or node-level programming environments.
• Experience with CUDA, OpenCL, OpenACC, OpenMP compiler directives, MPI, or related distributed programming models is required.
• Experience computing at scale on Top500 systems is desired.

Competencies

• Expertise supporting computational science, engineering, data analysis, or artificial intelligence applications and libraries in different HPC environments.
• Demonstrated ability to support research and collaborate successfully in a research environment.
• A publication record in computational science and engineering or data analysis journals and conferences.
• Strong analytical, problem-solving, decision-making, planning, organizational, teamwork, and communication skills.
• Ability to manage multiple projects, meet deadlines, and work effectively in a multicultural environment.
• Strong written and verbal communication skills in English.