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Singtel

Network Engineer, GPUaaS

Singtel is hiring a Network Engineer, GPUaaS in Singapore, Singapore. Level rates it ; you can apply on Singtel.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level lists 496 other open roles at Singtel.
  • The role was posted in the last few days.

AI in this role

About Singtel Digital InfraCo – RE:AI

 

Singtel Digital InfraCo’s RE:AI division is building Asia’s most advanced and sustainable AI infrastructure ecosystem. RE:AI enables enterprises, research institutions, and digital-native businesses to accelerate innovation through responsible, high-performance AI compute and connectivity solutions.

 

Singtel’s state‑of‑the‑art GPU‑as‑a‑Service (GPUaaS) data centre networking infrastructure. You will support customers running AI and high‑performance computing (HPC) workloads on large‑scale distributed GPU clusters. This role offers opportunities to build and deepen expertise in AI data‑centre networking and HPC cloud platforms within a highly collaborative and performance‑driven environment.

 

Make an Impact By

 

  • Provide operational support for GPU infrastructure services to meet customer expectations within defined SLAs, including preventive measures to minimise downtime.
  • Provide technical network support and guidance to users of GPU‑accelerated systems.
  • Monitor, troubleshoot, and enhance network performance in GPUaaS platforms, including introducing automation to detect and resolve network issues.
  • Manage relationships and expectations with internal and external stakeholders.
  • Design, develop, and operate high‑performance networking solutions for AI and GPU‑as‑a‑Service (GPUaaS) platforms.
  • Collaborate on network security initiatives and implementing cybersecurity best practices aligned with industry standards and certifications.
  • Coordinate with cross‑functional teams to deliver network solutions efficiently and within agreed timelines.
  • Prepare and presenting technical reports, including network optimisation plans, outage reports, and SLA reports for management and customers.
  • Contribute to the design of tailored high‑performance network solutions for AI and GPU cloud computing environments.
  • Conduct high‑performance network benchmarking and staying informed on advancements in networking and GPU technologies.
  • Participate in scheduled or on‑call support outside standard working hours, including nights, weekends, or public holidays, as required.

 

Skills for Success

 

  • Diploma/Degree or equivalent qualification in Computer Science, Information Technology, Network Engineering, or a related discipline; relevant networking and Linux certifications are advantageous.
  • Strong understanding of networking fundamentals including TCP/IP, VLANs, and subnetting.
  • Experience deploying and troubleshooting advanced routing protocols and network architectures such as VXLAN, EVPN, and BGP.
  • Experience with network operating systems and platforms such as Cumulus, Arista, Ubuntu, Proxmox, and Red Hat.
  • Hands‑on experience with network monitoring, automation, and configuration tools (e.g. Zabbix, NetBox, Ansible, Python scripting, CI/CD pipelines).
  • Customer‑focused mindset with strong collaboration and stakeholder management skills.
  • Effective verbal, written, and presentation skills in English.
  • Strong analytical, problem‑solving skills and ability to work independently while contributing to team objectives.

 

Desirable Qualifications

 

  • Experience with Linux systems, hypervisors, storage technologies (e.g. NFS, object storage), and infrastructure‑as‑code practices.
  • Understanding of how AI and HPC workloads interact with high‑performance networking infrastructure.
  • System‑level experience with GPU‑accelerated networking environments.
  • Understanding of cloud architectures (IaaS, PaaS), GPU architecture, and NVIDIA GPU platforms.

 

Your Career Growth Starts Here. Apply Now!

How we rate this

Network Engineer, GPUaaS at Singtel rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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