Staff Network Engineer (AI Fabric, Datacenter and Edge Networking)

📋 Description

• Own the long-term technical direction, architecture, and operational strategy for high-performance
• Design, deploy, and operate GPU networking fabrics optimized for distributed AI workloads.
• Architect large-scale RoCE and Ethernet fabrics, including leaf-spine topologies.
• Optimize east-west networking for GPU communication and high-throughput workloads.
• Implement and operate technologies including RDMA, RoCE, high-bandwidth Ethernet, Spectrum-X, and
• Define reusable architectures, deployment standards, validation criteria, and operational patterns.

🎯 Requirements

• Extensive hands-on experience designing, deploying, and operating large-scale datacenter networks
• Expert knowledge of BGP, OSPF, ECMP, EVPN/VXLAN.
• Proven experience with high-speed Ethernet and networking hardware in production.
• Strong experience with NVIDIA/Mellanox networking platforms and high-performance interconnects.
• Deep expertise designing fabrics for large-scale GPU clusters and distributed AI workloads.
• Understanding of GPU communication patterns and distributed training/inference requirements.

🎁 Benefits

• Attractive compensation reflecting experience and impact.
• Flexible and hybrid-friendly working environment.
• Opportunity to work with an internationally diverse team.
• Career growth opportunities within a fast-growing tech scale-up.
• Significant autonomy and ownership over foundational networking architecture.
• Work on advanced AI infrastructure, GPU fabrics, and distributed computing.