Systems Engineer

About the role

Design, maintain, troubleshoot, and refine advanced HPC/AI cluster infrastructure, including high-performance interconnects and cluster schedulers. Partner with colleagues to align designs for scratch filesystems and data management with cluster designs. Develop data-transfer pathways and networks to support AI-driven computing workloads. Define and drive the institutional technical strategy for advanced AI and data-intensive HPC. Promote institution-wide collaboration, advising faculty, researchers, and vendors on emerging trends in AI-enabled research computing. Monitor HPC clusters, networks, and storage systems for abnormalities, and resolve issues.

Requirements

• 10+ years of strong experience managing advanced research computing systems
• Strong expertise with Linux system administration, installation, and troubleshooting
• Advanced experience writing scripts in languages such as bash, Python, and/or Perl
• Proficient in managing networking in HPC environments
• Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments
• Strong oral and written communication skills with the ability to engage peers and diverse stakeholders effectively

Benefits

• Opportunity to work at a leading research institution
• Engage with cutting-edge HPC and AI technologies
• Collaborative and knowledge-sharing environment
• Comprehensive benefits program