Senior Backbone Network Engineer - Hyperscale & Automation

NVIDIA Corporation

Singapore

On-site

SGD 150,000 - 190,000

Full time

14 days+

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Job summary

NVIDIA Corporation in Singapore seeks a Senior Network Engineer to lead architecture of its global backbone, connecting data centers, offices, and cloud environments. You will guide inter-DC connectivity, design POPs, and oversee long-haul optical transport and peering strategy to ensure scalable, reliable, and high-performance networks for AI workloads.

The role requires hands-on experience with MPLS networks, DWDM, IPFIX, and carrier-grade gear, plus scripting for automation.

Qualifications

  • BS Degree in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of experience in network engineering, backbone/WAN or carrier-grade environments.
  • Experience with large-scale backbone networks across multiple continents.
  • Strong scripting ability in Python or Shell.

Responsibilities

  • Lead architecture and design of NVIDIA's global backbone network, including inter-DC connectivity, POP design, long-haul optical transport, and peering strategy.
  • Implement, manage, and troubleshoot the full backbone network stack from optical layer through IP/MPLS and traffic engineering.
  • Automate backbone network infrastructure end-to-end, including circuit provisioning, capacity management, monitoring, and failure detection.

Skills

MPLS
SR-MPLS
BGP-LU
RSVP-TE
IS-IS
OSPF
MP-BGP
BFD
QoS
MACsec
IPFIX/NetFlow
Python/Shell scripting
Automation
Juniper MX/PTX
Cisco ASR/NCS
WAN backbone

Education

BS degree in Computer Science or Electrical Engineering

Tools

DWDM
Coherent optics
OTN
400G/800G
Interconnect hardware
IXP connectivity

Job description

NVIDIA Corporation in Singapore seeks a Senior Network Engineer to lead architecture of its global backbone, connecting data centers, offices, and cloud environments. You will guide inter-DC connectivity, design POPs, and oversee long-haul optical transport and peering strategy to ensure scalable, reliable, and high-performance networks for AI workloads.

The role requires hands-on experience with MPLS networks, DWDM, IPFIX, and carrier-grade gear, plus scripting for automation.

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