Senior Lab Operations & AI Infrastructure Lead

Nanyang Technological University Singapore; Singapore; On-site; SGD 56,000 - 100,000; Full time

Job summary

NTU Singapore's College of Computing and Data Science invites applications for the Assistant Manager / Senior Executive, Laboratory Operations. The role supports CCDS Graduate Research Laboratories and centralised computing facilities in a fast-paced, research-driven environment.

You will ensure infrastructure readiness, manage procurement, governance and AI-enabled tooling, collaborating with faculty and students to advance cutting-edge AI, data science and computing research.

Qualifications

• Bachelor’s Degree or Diploma in Information Technology, Computer Science, Computing, Data Science, Artificial Intelligence, Engineering, or a related discipline.
• Relevant professional certification(s) in Artificial Intelligence (AI), Generative AI, Machine Learning, Data Analytics, Cloud Computing, IT Infrastructure, or related technologies would be advantageous.
• Experience in technical support, infrastructure administration, laboratory operations, or research computing environments.
• Linux knowledge is required; scripting or programming knowledge such as Python, Bash, or PowerShell is advantageous.
• Experience with servers, GPU systems, workstations, virtualization, cloud platforms, scientific computing, or AI/ML research infrastructure is advantageous.
• Good working knowledge of Generative AI and modern AI productivity tools, with the ability to apply them effectively to technical, operational, analytical, and administrative work.
• Strong organisational, troubleshooting, analytical, communication, and stakeholder management skills.
• Able to work independently and collaboratively in a dynamic research and technology-driven environment.
• Proactive and adaptable, with a willingness to continuously learn and adopt emerging AI and computing technologies.

Responsibilities

• Support the operations, infrastructure and technical environments of CCDS Graduate Research Laboratories and centralised research computing facilities, including GPU, server and specialised research equipment.
• Ensure the operational readiness, reliability and effective functioning of laboratory and research computing infrastructure, including the configuration, deployment, maintenance and troubleshooting of workstations, servers and GPU-enabled systems.
• Coordinate procurement, vendor management and asset lifecycle activities, ensuring research infrastructure and equipment are appropriately maintained and available to meet faculty, researcher and student needs.
• Administer laboratory access, safety, compliance and audit requirements, ensuring that research environments operate in accordance with relevant policies and standards.
• Work with faculty, researchers, students and other stakeholders to coordinate infrastructure requirements and continuously improve the efficiency and effectiveness of research laboratory and computing operations.
• Leverage Generative AI and AI-enabled tools, where appropriate, to enhance information analysis, technical documentation, workflow automation, troubleshooting and operational productivity

Skills

Linux knowledge

Scripting / programming (Python, Bash,

PowerShell

Strong organisational skills

Troubleshooting

Analytical abilities

Communication / stakeholder management

Independent & collaborative work

Proactive & adaptable

Education

Bachelor’s Degree or Diploma in Information Technology, Computer Science, Computing, Data Science, Artificial Intelligence, Engineering, or related discipline

Tools

Servers

GPU systems

Workstations

Virtualization

Cloud platforms

Scientific computing

AI/ML research infrastructure

Job description

NTU Singapore's College of Computing and Data Science invites applications for the Assistant Manager / Senior Executive, Laboratory Operations. The role supports CCDS Graduate Research Laboratories and centralised computing facilities in a fast-paced, research-driven environment.

You will ensure infrastructure readiness, manage procurement, governance and AI-enabled tooling, collaborating with faculty and students to advance cutting-edge AI, data science and computing research.