Question 1

What qualifications are required for the HPC AI Lead Engineer role at NUS?

Accepted Answer

Candidates need a Bachelor's or Master's degree in Computer Science, Engineering or related field, plus 5+ years of HPC operations experience (3+ years leading teams/projects preferred). Key skills include Linux administration, job schedulers like Slurm or PBS Pro , parallel file systems such as GPFS or Lustre , and scripting in Python, Bash or Perl .

Question 2

What are the main responsibilities of the HPC AI Lead Engineer?

Accepted Answer

The role leads administration of HPC infrastructure including GPU clusters and liquid-cooled systems, project/vendor management, SOP development, SLA monitoring, cross-team collaboration, mentoring engineers, and engagement with NUS research community on AI and HPC projects .

Question 3

Does NUS offer visa sponsorship for the HPC AI Lead Engineer position?

Accepted Answer

Visa sponsorship is not specified in the job posting. International applicants should confirm eligibility directly with NUS IT during the application process.

Question 4

What benefits come with HPC roles at National University of Singapore?

Accepted Answer

NUS IT offers competitive remuneration, flexible work arrangements, career development opportunities, and a collaborative environment focused on innovation in high-performance computing and digital transformation.

Question 5

How can I apply for HPC AI Lead Engineer jobs at NUS?

Accepted Answer

Applications are submitted via the NUS careers portal before the August 2026 deadline . Prepare a tailored CV highlighting HPC experience, schedulers, and parallel file systems. See administration jobs and higher-ed jobs for similar roles.

HPC AI Lead Engineer

National University of Singapore (NUS)

Kent Ridge Campus

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