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we are seeking a Lead System Architect to join our system architecture team and help define the next generation of our AI-SuperNIC scale-out chip.
AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.
You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.
Responsibilities:
Lead the software architecture and technical roadmap for or next-generation ultra low-latency AI-SuperNIC software stack, including drivers, firmware, libfabric, and libibverbs.
Define the partitioning and interfaces between hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
Lead the design and implementation of high-performance networking, RDMA, and GPU-direct communication capabilities.
Drive software support for emerging technologies and standards such as UEC, UALink, MRC and RoCEv2 ecosystems.
Work closely with hardware, system architecture, and VLSI teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership across firmware, driver, and networking software development

we are looking for a Senior Machine Learning Engineer to work on LLM-based systems with a strong emphasis on integration, end-to-end workflows, and production readiness. This role combines performance optimization (prefill/decode, throughput, latency) with hands-on work integrating components across the AI platform.
A significant part of the role involves building end-to-end integration flows and tests, particularly around token generation pipelines and system orchestration, as well as contributing to intelligent system behavior such as hardware selection and execution strategies. The role also includes developing system-level logic in Python for multi-tenant management, caching strategies, and service lifecycle management across the platform.
***This is not a Data Science position***
Responsibilities:
Build and maintain end-to-end integration flows across the AI inference pipeline (serving, orchestration, APIs, and infrastructure)
Design, implement, and optimize LLM inference workflows, including prefill and decode stages
Improve system performance with focus on throughput, latency, and interactivity
Write production-grade components in Python and integrate them into the broader system
Contribute to system-level logic such as smart hardware selection and execution strategies
Integrate models (open source and custom), services, and APIs into cohesive, reliable end-to-end application pipelines

We are looking for a Senior DevOps Engineer to join our team
You will report to the DevOps Sr. Manager


Location
Working at least 3 days a week from the office in Caesarea



What you will be doing:

Were looking for a Senior DevOps Engineer with strong Python skills, deep Linux (Debian based) experience, and hands-on expertise with AWS and Kubernetes. In this role, youll take ownership of automating, scaling, and maintaining our infrastructure and CI/CD systems which are critical components that power our next-gen broadband solutions. Youll work closely with senior engineers in a high-impact environment, developing internal tools and platforms that support both infrastructure and the full software delivery lifecycle. Your work will directly influence our development velocity, deployment reliability, and production artifacts quality.

Key Responsibilities

Operate and extend our Kubernetes-based and container-based platforms and orchestrate deployments on AWS.
Own and evolve our CI/CD pipelines, focused on Debian packaging, container orchestration, and cloud- native deployments.
Design and develop Python modules, tools and services to manage CI frameworks, packaging processes, and operational automation.
Work closely with development teams to diagnose and resolve complex issues across build systems, APIs, and development environments.
Maintain and improve automated build/test pipelines using Jenkins and Argo workflow.
Implement infrastructure-as-code practices using tools such as Terraform, ArgoCD, and Helm.

We are looking for a Junior SW Development Engineer to join our team.
You will be based in Caesarea, Israel.



Location
Hybrid - Working at least 3 times a week from the office



What you will be doing:

As a member of one of our global Agile SW Scrum teams, you will contribute to the development of cutting-edge, cable industry-leading products and services.
Your work will involve:

C/C++ Software Development: Design and implement features within the MAC and upper layer protocol domains, leveraging the latest advancements in C++ technology.
Advanced Networking Solutions: Contribute to solutions running on Linux servers using containerized environments (Kubernetes), employing state-of-the-art technologies and methodologies.
Troubleshooting & Debugging: Investigate and resolve complex issues from internal QA teams and external customer reports.
Agile Methodologies: Plan, develop, and deliver features in an Agile development environment.

we are looking for a sharp, hands-on Product Manager to help define NR-NEXUS, our next-generation AI inference platform.
This role is ideal for experienced product manager who is fast-learning, technical, and ambitious. Youll work closely with Product, R&D, Marketing and customers engineering team to turn market needs, customer feedback, and AI infrastructure trends into clear product requirements, workflows, demos and PoCs.
What Youll Do:
Help define NR-NEXUS product capabilities, workflows, and use cases
Write clear PRDs, user stories, feature briefs, and competitive notes
Research AI infrastructure, SaaS platforms, model serving, and inference trends
Work with engineering to translate technical capabilities into product value
Support customer and partner discovery with sharp product thinking