QA Engineer - AI Datacenter Networking

Description

Location: Tel Aviv

#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 and execute test cases for SONiC 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
  
  

• 3+ years of networking QA experience, preferably in datacenter environments
• 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
• 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
• Experience with CI/CD pipelines
  
  

• Strong understanding of SONiC architecture and Linux networking stack
• Knowledge of networking protocols: BGP, OSPF, VLAN, VXLAN, MPLS
• Experience with smart NIC programming and testing
• Understanding of RDMA programming and testing
• Experience with network simulation tools (containerlab)
• Experience with large-scale datacenter testing environments
• Proficiency in Python scripting for test automation