Senior Network Engineer - AI Datacenter

DescriptionLocation: Tel Aviv#HybridDriveNets 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 SummaryWe are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.Key ResponsibilitiesDefine and execute regression, functional, performance, and scale test suites for network infrastructureInvestigate complex performance and scaling bottlenecks in AI datacentersDesign and build customer-scale testbeds emulating diverse network architecturesWrite and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environmentsAnalyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platformsCollaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviorsSupport POC efforts, innovation initiatives, and customer use-case reproductionsGenerate comprehensive test reports highlighting results, insights, and recommendationsValidate network protocols and hardware-software interactions in AI workloadsRequirementsRequired Qualifications8+ years of experience in system validation, performance testing, or troubleshooting in networking environmentsStrong understanding of network protocols (L2/L3) and hardware-software interactionsHands-on experience with congestion control, collective communication frameworks, and AI-scale workloadsProficiency in Linux-based systems with strong Python scripting and automation skillsPractical experience with network traffic generators for performance and stress testingAbility to debug across multi-vendor platformsExcellent troubleshooting skills, curiosity, and problem-solving mindsetStrong communication and collaboration skills with ownership over end-to-end testingPreferred QualificationsIndustry certifications (CCNP) or equivalent expertiseKnowledge of AI/ML workloads and distributed trainingExperience with high-speed networking (InfiniBand, Ethernet, RDMA)Familiarity with containerization and orchestration