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

📋 Description

• Own long-term technical direction and operational strategy for AI networking.
• Design, deploy, and operate GPU networking fabrics for AI workloads.
• Architect large-scale RoCE and Ethernet fabrics (leaf-spine, fat-tree, rail).
• Lead end-to-end delivery of networking initiatives and drive adoption of standards.
• Build observability and tooling for network reliability and day-two ops.
• Collaborate with compute/platform/SRE teams to shape infrastructure for distributed AI.

🎯 Requirements

• Extensive hands-on experience designing and operating large-scale datacenter networks.
• Expertise in BGP, OSPF, ECMP, EVPN/VXLAN.
• Experience with NVIDIA/Mellanox networking platforms and high-performance interconnects.
• Deep expertise in GPU fabrics for distributed AI workloads and NCCL patterns.
• Hands-on RoCE/RDMA fabric design and tuning for GPU clusters.
• Strong automation skills (Python, Bash) and ability to build reusable tools.

🎁 Benefits

• Attractive compensation package based on experience and impact.
• Flexible and hybrid-friendly working environment.
• Opportunity to work with an internationally diverse team.
• Career growth within a fast-growing technology scale-up.
• Significant autonomy and technical ownership over networking architecture.
• Opportunity to shape networking standards and automation early on.