Senior AI Data Center Network Engineer

Bitdeer Technologies Group • Aurora, CO

56d

About The Position

Bitdeer is seeking an experienced Senior AI Data Center Network Engineer to join its AI Cloud team in the US. The engineer will architect, deploy, and operate high-performance, highly available network solutions for large-scale GPU clusters, helping ensure the stability, low latency, and performance of Bitdeer’s AI infrastructure. The role focuses on advanced networking technologies including InfiniBand, RoCEv2, and SDN architectures.

The engineer will work with cross-functional teams to build the network backbone for Bitdeer’s AI Cloud, supporting AI training and inference workloads for global customers. The position covers network architecture and design, cluster operations and troubleshooting, automation, fabric monitoring, cloud and container networking, and incident response and change management.

Requirements

• Bachelor’s degree or above in Computer Science, Network Engineering, Telecommunications, or a related field.
• 8–10 years of experience in large-scale data center network operations, architecture, and engineering.
• Deep expertise in the TCP/IP protocol stack and core routing protocols, including BGP, OSPF, and ISIS, as well as data center technologies such as VXLAN EVPN and Spine-Leaf.
• Extensive hands-on experience with HPC/AI networking, including InfiniBand architecture and Subnet Manager or Ethernet-based RoCEv2, PFC, ECN, and congestion control mechanisms.
• Proficiency configuring and managing data center switches and routers from major vendors such as Cisco Nexus, NVIDIA/Mellanox, and Juniper.
• Strong network automation and scripting skills, including Python, Ansible, and Terraform, and Linux system administration skills.
• Experience with Kubernetes container networking (CNI) and cloud-native architectures.
• Professional fluency in English and Chinese.

Responsibilities

• Architect scalable, highly available AI Cloud data center networks, including Spine-Leaf topology, DCN, DCI, and backbone networks using VXLAN EVPN and SDN technologies.
• Design, deploy, and optimize large-scale GPU clusters using InfiniBand and RoCEv2 lossless Ethernet fabrics, and configure and manage NVIDIA Spectrum and Quantum series switches.
• Investigate complex network issues affecting AI workloads, including RDMA packet loss, PFC/ECN congestion control, latency, and NCCL communication timeouts.
• Develop and maintain network automation tools and platforms using Python, Ansible, and Terraform to implement Infrastructure as Code and streamline configuration management.
• Use NVIDIA UFM, NetQ, Zabbix, and Prometheus for real-time monitoring, network telemetry, and fabric health management.
• Support network integration for Kubernetes and Docker environments and hybrid cloud deployments, ensuring connectivity and security.
• Lead critical network changes, capacity expansions, and firmware upgrades; respond to incidents, implement mitigations, and conduct Root Cause Analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior