Senior Research Engineer II (GPU Cluster Management)

Location: NTU Main Campus, Singapore

Time Type: Full time

Job Description

School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in:  (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics.  Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. 

We are looking for a Senior Research Engineer to manage the EEE GPU Cluster. The role will focus on leading the EEE GPU Cluster team and in charge of communication, procurement, user management, and software/hardware maintenance. The goal of the role is to ensure the EEE GPU Cluster is reliable, secure, efficient, and well-utilized.

Key Responsibilities:

• GPU cluster architecture and design

• Stakeholder management (communication)

• User lifecycle management (communication and coding)

• Procurement (expertise in hardware specs and communication)

• Cybersecurity knowledge to stay compliant with CITS requirements. (coding)

• Regular system updates and patching (coding and system-level understanding)

• Major maintenance (good coding background and ability to take over the existing codebase)

• Managing the emails and registration portal

Job Requirements:

• At least a Bachelor’s or Master’s degree in Computer Science or a related field.

• 2+ years of hands-on experience deploying and maintaining HPC clusters.

• Proficient in coding (Python, C/C++, Lua) with a focus on clean, efficient code.

• Strong skills in Linux administration, automation, and networking (TCP/IP, HTTP).

• Experience with distributed storage and computing (Ceph, Lustre, Open MPI, NVLink).

• Familiarity with Proxmox VE, Slurm, and user management (LDAP/FreeIPA) is a plus.

• Capable of leading a small team (3–4 people) and presenting technical updates to management.

• Excellent communication skills for interacting with researchers and stakeholders.

• Available for on-call support to handle system emergencies.

We regret to inform you that only shortlisted candidates will be notified.