HPC Computational Scientist
Role Overview
Provides expert support for compiling, running, debugging, and optimizing internally developed code on HPC systems, including CPU and GPU partitions.
Supports research enablement on KSL HPC systems across computational science and engineering, data analysis, AI/ML, and related fields.
Key Skills for This Role
Full Job Posting
Position summary
Provides expert support for compiling, running, debugging, and optimizing internally developed code on HPC systems, including CPU and GPU partitions.
Supports research enablement on KSL HPC systems across computational science and engineering, data analysis, AI/ML, and related fields.
Research and user support
- Installs, ports, tunes, and optimizes HPC applications, libraries, tools, and data analysis software for CPU and GPU architectures.
- Provides user support through telephone, walk-in, email, and ticketing submissions.
- Works with faculty, researchers, collaboration partners, and industrial partners to support research objectives.
- Develops software tools, applications, and parallel libraries for research on cluster systems and subsystems.
- Develops benchmarks for laboratory system upgrades and supports benchmarking for future procurements.
Training, documentation, and research
- Develops, delivers, updates, and supports user training, instruction, and user and internal documentation.
- Reviews and prepares documentation for systems, tests, and software installations.
- Maintains technical currency through collaboration, training, conferences, practice, and independent learning.
- Pursues aligned research, co-authorship where appropriate, scientific communication, and outreach.
Education and experience
- Requires a Ph.D. in computer science, computational science and engineering, or a closely related discipline.
- Requires at least five years using and supporting large-scale computing platforms and related subsystems.
- Requires relevant experience in computational science and engineering or a closely related discipline, plus experience in parallel computing and storage systems.
- Requires research experience in at least one area: HPC performance modeling or tuning; I/O, data management, or compression; emerging or heterogeneous architectures and memory systems; node-level programming; or distributed programming models.
- Computing at scale, such as on a Top500 system, is desired.
Technical competencies
- Requires programming proficiency for HPC applications and tools; examples include Fortran, C/C++, Python, MPI, OpenMP, CUDA, and OpenACC.
- Relevant expertise includes computational science and engineering, data analysis, and AI applications and libraries in HPC environments.
- Requires the ability to support research in HPC and work collaboratively; publications in relevant journals and conferences are specified.
Additional competencies
- Requires English written and oral reporting ability and strong verbal and written communication.
- The description also calls for analytical, problem-solving, decision-making, planning, and organizational skills; project management knowledge; flexibility; and ability to manage multiple projects and deadlines.
- The role calls for initiative, responsiveness, teamwork, and effectiveness in a multicultural environment.
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