Datapath Software Engineer - AI Datacenter Networking

Description

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 datapath software for AI datacenter networking, implementing SONiC enhancements, smart NIC integration, and specialized routing features for AI workloads.

Key Responsibilities

• Implement datapath features in SONiC for AI-optimized networking scenarios
• Develop smart NIC integration drivers and control plane software
• Optimize packet processing performance for AI training and inference traffic
• Implement RDMA and high-speed networking protocol support
• 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
• Contribute to open-source SONiC community and maintain vendor-specific extensions
  
  

• BSc degree in Computer Science or Engineering
• 5+ years of software development experience in networking or systems programming
• Strong proficiency in C/C++ and Python programming
• Understanding of networking protocols and packet processing optimization
• Strong debugging skills with networking and performance analysis tools
  
  

• Experience with SONiC development, SAI implementation, or switch software
• 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