Software Team Lead- AI Datacenter Networking

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

Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.

Key Responsibilities

Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation

Requirements:

Required Qualifications:

BSc degree in Computer Science or Engineering
2+ years of team leads.
5+ years of software development experience in networking or systems programming
Understanding of networking protocols and packet processing optimization

Preferred Qualifications

Experience with SONiC development, SAI implementation, or switch software
Rust
Knowledge of Linux kernel networking
Experience with smart NIC programming interfaces and SDK development
Familiarity with DPDK, RDMA, and high-performance networking libraries
Experience with AI/ML framework networking integration