居家办公 HPC AI Lead Engineer 工作, 薪水, National University Of Singapore 公司招聘中 - Ricebowl

About NUS IT

Job Description

The role is for an experienced HPC (High-Performance Computing) Architect or Engineer to take a lead in designing, deploying, enhancing, and managing our HPC infrastructure. This infrastructure includes GPU clusters (B200/H200/A40), liquid-cooled CPU cluster, and a cloud-based HPC system, with future expansions planned to support cutting-edge NUS research.

Duties and Responsibilities

• Lead the administration and operation of our HPC infrastructure (both on-premise and/or cloud), including hardware, software, and networking components.
• Lead the development of HPC infrastructure together with lead architect and management team.
• Perform project management activities and vendor management on strategic HPC infrastructure projects.
• Develop, implement, and document standard operation procedures and best practices for HPC operations, including system monitoring, performance tuning, and security.
• Ensure the operation process and practices adhere to prevailing institutional policies and governance principle.
• Ensure the HPC infrastructure’s availability and performances are according to the predefined SLA and/or standards. Perform corrective actions if the metrics are not met.
• Perform regular operational review with the managed service vendors.
• Work closely with cross-functional teams to ensure optimal performance and utilization of HPC resources.
• Provide technical guidance and mentoring to other engineers on the HPC team.
• Provide a point-of-contact for any system-related issue outside of working hours.
• Identify and implement new technologies and processes to improve HPC efficiency and scalability.
• Provide support and engagement with the research community (e.g., principal investigators, research institutes, and strategic stakeholders)
• Contribute to community engagement activities such as technical writing, organizing meetups, conference, and events.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in HPC operations and administration. Preferably with 3+ years of experience managing an operational team and/or HPC projects.
• Strong knowledge of HPC technologies, including high-performance computing hardware, parallel file systems, job schedulers, and cluster management software.
• Proficient in scripting and programming languages such as Python, Bash, and Perl.
• Experience with Linux operating systems and system administration.
• Experience in administering an HPC workload scheduler, e.g. PBS pro, Slurm, SGE, etc.
• Experience in administering a parallel file system, e.g. GPFS, LUSTRE, etc.
• Familiarity with data centre technology, specifically with direct-to-chip liquid cooling is a plus.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work in a team environment and lead other engineers.