AI Data Center - E2E QA Network Engineer

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/our company 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 testi

דרישות:

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