Network Engineer (AI DC)

Vouch Recruitment; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Vouch Recruitment is assisting a fast-growing AI infrastructure company in Singapore. You will design, deploy, and support high-performance data center network infrastructure tailored for AI and GPU compute environments.

You will build Spine-Leaf architectures, deploy high-speed fabrics, and manage Layer 2/3 networking with BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC. Strong problem solving and collaboration across teams are essential.

Qualifications

• Bachelor's degree in a relevant computing field is required.
• 5+ years designing or supporting data center network infrastructure.
• Strong grasp of modern data center networking principles.
• Hands-on with routing/switching protocols: BGP, OSPF, VXLAN EVPN, ECMP, MLAG/VPC.
• Experience with high-speed Ethernet networks (25G/40G/100G+).
• Exposure to AI, HPC, GPU clusters or large-scale compute environments is a plus.
• Familiarity with Cisco Nexus, Arista, Juniper, NVIDIA Spectrum or Mellanox hardware.
• Good networking security concepts, Linux networking basics, and network troubleshooting.
• Experience with Python, Ansible, REST APIs or similar automation is a plus.

Responsibilities

• Design, deploy, and support high-performance data center network infrastructure for AI and GPU compute environments.
• Build, configure, and optimize Spine-Leaf network architectures for large-scale GPU clusters.
• Deploy and manage high-speed Ethernet and/or InfiniBand fabrics supporting AI/HPC workloads.
• Configure Layer 2/3 networking (BGP, OSPF, VXLAN EVPN, ECMP, MLAG/VPC) and maintain routing.
• Monitor, troubleshoot, and resolve complex network issues across compute, storage, and AI infrastructure.
• Optimize network performance, latency, and throughput for distributed AI training and inference.
• Perform firmware upgrades, capacity planning, and lifecycle management.
• Collaborate with Platform, Infrastructure, Linux, DevOps, and AI Engineering teams.
• Develop and maintain network documentation, procedures, and runbooks.
• Implement monitoring, alerting, and automation to improve operations.
• Participate in incident response and on-call production support.
• Evaluate and recommend new networking technologies to improve scalability and reliability.

Skills

Network design

Troubleshooting

Cross-functional collaboration

Communication

On-call support

Education

Bachelor's Degree in Computer Science/Engineering/IT

Tools

Cisco Nexus

Arista

Juniper

NVIDIA Spectrum

Mellanox

InfiniBand

RoCEv2

RDMA

GPUDirect

SONiC

Cumulus Linux

Job description

Our client is a fast-growing AI infrastructure company building next-generation GPU-powered AI platforms. They operate high-performance AI data centers that support large-scale machine learning, AI model training and inference workloads. The environment is highly technical, focusing on low-latency networking, scalability, automation and operational excellence.

Primary Responsibilities

• Design, deploy, and support high-performance data center network infrastructure for AI and GPU compute environments.
• Build, configure, and optimize Spine-Leaf network architectures for large-scale GPU clusters.
• Deploy and manage high-speed Ethernet and/or InfiniBand fabrics supporting AI/HPC workloads.
• Configure and maintain Layer 2 and Layer 3 networking technologies, including BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC.
• Monitor, troubleshoot, and resolve complex network issues across compute, storage, and AI infrastructure.
• Optimize network performance, latency, and throughput to support distributed AI training and inference.
• Perform firmware upgrades, network maintenance, capacity planning, and lifecycle management.
• Collaborate closely with Platform, Infrastructure, Linux, DevOps, and AI Engineering teams to deliver scalable AI infrastructure.
• Develop and maintain network documentation, operational procedures, and technical runbooks.
• Implement network monitoring, alerting, and automation to improve operational efficiency.
• Participate in incident response and on-call support for production environments.
• Evaluate and recommend new networking technologies to improve scalability, reliability, and performance.

What We're Looking For

• Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related discipline.
• 5+ years of experience designing or supporting enterprise or data center network infrastructure.
• Strong understanding of modern data center networking principles
• Hands-on experience with routing and switching protocols such as BGP, OSPF, VXLAN EVPN, ECMP, and MLAG/VPC.
• Experience managing high-speed Ethernet networks (25G/40G/100G/200G/400G).
• Exposure to AI, HPC, GPU clusters, or large-scale compute environments would be highly advantageous.
• Experience working with networking platforms such as Cisco Nexus, Arista, Juniper, NVIDIA Spectrum, or Mellanox.
• Good understanding of network security concepts including segmentation, ACLs, and firewall policies.
• Familiarity with Linux networking fundamentals and troubleshooting.
• Experience with network automation using Python, Ansible, REST APIs, or similar tools is an advantage.
• Knowledge of technologies such as InfiniBand, RoCEv2, RDMA, GPUDirect, SONiC, or Cumulus Linux is a plus.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication skills with the ability to collaborate effectively across cross-functional engineering teams.
• Comfortable working in a fast-paced, high-availability production environment supporting mission-critical AI infrastructure.