Datapath Software Architect

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:

Design and architect high-performance datapath solutions for AI datacenter networking, integrating SONiC, smart NICs, and centralized routing intelligence to optimize AI workload communication patterns.

Key Responsibilities:

- Architect end-to-end datapath solutions for AI datacenter networking requirements

- Design integration between SONiC datapath and smart NIC offload capabilities

- Define APIs and interfaces between datapath components and AI framework integrations

- Optimize packet processing pipelines for AI training and inference traffic patterns

- Design load balancing and traffic engineering solutions for AI workload distribution

- Architect telemetry and monitoring systems for datapath performance analysis

- Collaborate with hardware teams on smart NIC feature requirements and implementation

- Define software architecture for RDMA and high-speed networking protocols

- Lead technical design reviews and establish coding standards for datapath development

Required Qualifications:

- BSc degree in Computer Science or Engineering

- 10+ years of software architecture experience with 5+ years in networking datapath

- Extensive experience with smart NIC programming

- Strong background in high-performance packet processing and kernel bypass techniques

- Proficiency in C/C++, Python, and system-level programming

- Understanding of distributed systems and microservices architecture

Preferred Qualifications:

- Deep expertise in SONiC architecture, SAI (Switch Abstraction Interface), and ASIC programming

- Experience with DPDK, RDMA programming, and zero-copy networking

- Knowledge of AI/ML networking requirements and communication patterns

- Knowledge of network function virtualization (NFV) and software-defined networking

- Experience with container networking

- Understanding of network security and encryption offload technologies