AI Data Center - E2E QA Network Engineer

we are a leader in high-scale disaggregated networking solutions. Founded in 2015, our company modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&Ts backbone traffic is running on our companys Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, we are disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the worlds leading communication networks and are experienced in networking architecture or AI infrastructure solutions.
Job Summary:
Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases fo

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Required Qualifications:
5+ years of Networking experience, preferably in datacenter environments / as Network QA Engineer
Knowledge of networking protocols: BGP, VLAN, EVPN/VXLAN, QOS - Must
Experience testing network hardware (switches, NICs, cables) and software integration
Experience with capturing traffic and deep knowledge of Ethernet/IP/TCP/UDP headers
Experience with networking concepts that influence traffic characteristics, such as Tunneling, NAT, QinQ, MTU, PMTUD
Experience with performance testing tools and traffic generators such as Ixia/Spirent
Linux Proficiency: In-depth knowledge of Linux, with testing experience
Containerization: Experience with Docker
Expertise in testing methodologies and hands-on experience with testing tools
Preferred Qualifications:
Experience in testing AI Network solutions based on Infiniband or Ethernet
Knowledge in RoCE and AI DC Solution Designs
Knowledge in SONiC OS architecture and Linux networking stack
Experience with smart NIC programmi