HPC Scientific Software Engineer

Job Summary

Supporting high-performance and AI-driven research, the full-time HPC Scientific Software Engineer will deploy, optimize, and maintain scientific software and computational workflows on advanced HPC systems, primarily within Linux environments, while collaborating with interdisciplinary research groups and providing user support.

Key responsibilities

• Develop and refine deployment strategies for scientific software on HPC and AI systems
• Analyze and optimize the performance of AI models and HPC applications, focusing on GPU-enabled computing
• Manage and support scientific software deployment across HPC, cloud-based, and colocation facilities

Required qualifications

• Master's degree in computer science or a closely related quantitative discipline
• Five years of experience in HPC user support, software deployment, and performance optimization
• Hands-on experience with SLURM for job scheduling
• Proficiency in Python, Perl, C/C++, and Shell scripting for automation and system management
• Advanced knowledge of Linux systems and familiarity with scientific application management tools