Full Description

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Our Partner Our Partner is a leader in high-scale disaggregated networking solutions. Founded in 2015, our Partner modernizes the way service providers, cloud providers and hyperscale’s build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on our Partner’s Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, our Partner 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. Role Overview We are looking for an experienced QA Network Engineer - AI Sonic DC Solution who will execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads. Responsibilities Design large scale testing topologies with GPU/Traffic Generators and execute test cases for 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

Must Have

• Bachelor's degree in Computer Science, Computer Engineering, Data Science or a related field.
• 5+ years of Networking experience, preferably in datacenter environments / as Network QA Engineer.

Knowledge of networking protocols: BGP, VLAN, EVPN/VXLAN, QOS. 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.