R&D
Tel Aviv
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 looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack — including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams — including networking, GPU, and system software — to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.
### **Preferred Qualifications**
* Exposure to **AI workloads** and GPU ecosystems (ROCm, RCCL, PyTorch, TensorFlow).
* Experience with **distributed systems, control-plane software, or cluster management frameworks**.
* Familiarity with **REST/gRPC APIs**, **microservices**, and **cloud-native architectures**.
* Background in **monitoring, telemetry, or resource scheduling systems**.
* Practical experience in **full-stack development** (React, Angular, Node.js, or equivalent).
Required Qualifications
Preferred Qualifications