HPC‑AI Systems Research Assistant

Nanyang Technological University

Singapore

On-site

SGD 42,000 - 60,000

Full time

14 days+
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Job summary

NTU Singapore’s Parallel Systems Lab in the CCDS invites applications for a Research Assistant/Associate. The role focuses on designing and evaluating scalable HPC-AI systems, with workload analysis and prototyping on national platforms.

Collaboration with faculty and domain scientists drives impactful AI research. Applicants should have a CS degree and strong C/C++/Python skills, plus experience in parallel computing and AI workflows.

Qualifications

  • Bachelor's or Master’s degree in Computer Science or related discipline.
  • Strong knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis.
  • Proficiency in C/C++ and Python programming.
  • Experience with parallel systems, ML/AI, or benchmarking is desirable.
  • Ability to work independently and in multidisciplinary teams.

Responsibilities

  • Analyze and characterize multi-agent AI and HPC workloads to identify performance and scalability challenges.
  • Design, implement, and prototype efficient systems for large-scale AI/HPC workflows.
  • Conduct benchmarking and experimental evaluation on local and national supercomputing platforms.
  • Contribute to research papers, reports, and presentations for reviews and conferences.

Skills

C/C++
Python
Parallel computing
AI workflows
Research

Education

Bachelor's or Master's in Computer Science

Job description

NTU Singapore’s Parallel Systems Lab in the CCDS invites applications for a Research Assistant/Associate. The role focuses on designing and evaluating scalable HPC-AI systems, with workload analysis and prototyping on national platforms.

Collaboration with faculty and domain scientists drives impactful AI research. Applicants should have a CS degree and strong C/C++/Python skills, plus experience in parallel computing and AI workflows.

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TAFEP standards compliance
Diversity with 32 nationalities
25 days annual leave
+2