דרושים Senior Network Engineer - AI Datacenter בתל אביב

****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

**We 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 Responsibilities

• Define and execute regression, functional, performance, and scale test suites for network infrastructure
• Investigate complex performance and scaling bottlenecks in AI datacenters
• Design and build customer-scale testbeds emulating diverse network architectures
• Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
• Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
• Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
• Support POC efforts, innovation initiatives, and customer use-case reproductions
• Generate comprehensive test reports highlighting results, insights, and recommendations
• Validate network protocols and hardware-software interactions in AI workloads

**Requirements

**Required Qualifications

• 8+ years of experience in system validation, performance testing, or troubleshooting in networking environments
• Strong understanding of network protocols (L2/L3) and hardware-software interactions
• Hands-on experience with congestion control, collective communication frameworks, and AI-scale workloads
• Proficiency in Linux-based systems with strong Python scripting and automation skills
• Practical experience with network traffic generators for performance and stress testing
• Ability to debug across multi-vendor platforms
• Excellent troubleshooting skills, curiosity, and problem-solving mindset
• Strong communication and collaboration skills with ownership over end-to-end testing

Preferred Qualifications

• Industry certifications (CCNP) or equivalent expertise
• Knowledge of AI/ML workloads and distributed training
• Experience with high-speed networking (InfiniBand, Ethernet, RDMA)
• Familiarity with containerization and orchestration