HPC Computational Scientist

About the role

KAUST is seeking a highly motivated HPC Computational Scientist to support and enhance the performance of research codes on its flagship high‑performance computing systems, including Shaheen III CPU and GPU partitions. The role involves close collaboration with faculty, researchers, and industry partners to enable cutting‑edge computational science, big‑data analytics, and AI/ML research.

Key responsibilities

• Provide expert assistance in compiling, debugging, and optimizing user‑developed applications for CPU and GPU architectures.
• Install, port, and tune high‑performance libraries and software stacks on KAUST’s HPC clusters.
• Deliver training, user documentation, and internal guides for HPC tools and best practices.
• Respond to user inquiries via phone, email, walk‑in, and ticketing systems, maintaining high service standards.
• Participate in benchmarking activities and contribute to future procurement decisions.
• Develop custom software utilities to support research projects as needed.

Required profile

• At least five years of experience working with high‑performance computing environments.
• Strong background in computational science, engineering, or related research domains.
• Proven ability to work collaboratively with diverse research teams and external partners.
• Excellent communication skills for training and documentation.

Required skills

• OpenACC
• MPI
• C
• OpenMP
• Python
• Fortran
• CUDA

What we offer

• Access to world‑class HPC resources and a vibrant research community.
• Opportunities for professional development through conferences and training.
• Collaborative environment with leading scientists and engineers.