AI Data Center - E2E QA Network Engineer

Description Location: Ra'anana #Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is 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 world’s 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 for SONiC/DriveNets network operating system functionality. Validate smart NIC performance and integration with SONiC datapath Perform functional, performance, and stress testing of AI networking scenarios Develop automated test scripts for regression testing and continuous validation Execute interoperability testing between different hardware vendors and software versions Validate RDMA, high-speed Ethernet performance for AI workloads Test failover scenarios and network resilience under various failure conditions Document test results, file detailed bug reports, and track issue resolution Collaborate with development teams to reproduce and isolate defects Participate in customer proof-of-concept testing and field issue reproduction Requirements 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 programming and testing Experience with network simulation tools (containerlab) Experience with large-scale datacenter testing environments Proficiency in Python scripting for test automation