Staff Network Engineer (AI Fabric, Datacenter and Edge Networking)
J
JobgetherAI Infrastructure
Based in NetherlandsFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- PythonBash
Requirements
- Extensive hands-on experience designing, deploying, and operating large-scale datacenter networks in production environments.
- Expert knowledge of modern networking protocols and architectures, including BGP, OSPF, ECMP, and EVPN/VXLAN.
- Proven experience operating high-speed Ethernet networks and networking hardware in production.
- Strong experience with NVIDIA/Mellanox networking platforms and high-performance interconnect technologies.
- Deep expertise designing and operating networking fabrics for large-scale GPU clusters and distributed AI workloads.
- Practical experience tuning congestion-management technologies such as PFC and ECN.
- Strong knowledge of networking hardware, optics, and high-speed interconnects, including dark fiber and DWDM.
- Strong automation skills using Python, Bash, or similar technologies.
- Proven ability to lead complex technical initiatives across engineering, operations, and stakeholders.
- Strong systems-level thinking, balancing performance, reliability, scalability, operational simplicity, and cost efficiency.
- Willingness to travel as required across local, EMEA, US, APAC, or global locations.
Responsibilities
- Own the long-term technical direction, architecture, and operational strategy for high-performance AI networking and broader infrastructure networking.
- Design, deploy, and operate GPU networking fabrics optimized for distributed AI training and inference workloads.
- Architect large-scale RoCE and Ethernet fabrics, including leaf-spine, fat-tree, rail, and multi-plane topologies.
- Implement and operate technologies including RDMA, RoCE, high-bandwidth Ethernet, Spectrum-X, and related AI networking platforms.
- Design and operate Layer 2 and Layer 3 datacenter networks using BGP, ECMP, EVPN/VXLAN, and Linux networking.
- Lead end-to-end delivery of networking initiatives, from architecture and lab validation through production deployment and operational handover.
- Drive automation for provisioning, configuration management, monitoring, validation, and network lifecycle management.
- Serve as the senior escalation point for complex networking incidents, leading root-cause analysis and remediation.
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