Senior Network Engineer - AI Datacenter

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