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The System & Network Architecture Team within Computing Network Innovation Lab is responsible for next generation computing network architecture research, ranging from network architecture evolution technology to large scale network technology (e.g. Ethernet/IB/RoCE), bus network technology (PCIE/CXL), chiplet interconnect technology and strategic technology planning
DESCRIPTION:
With the explosive growth of AI technologies and the Internet industry, data centers have become digital hubs and infrastructures of the Internet industry in the digital economy era. Computing networks, as core components of data centers, have features such as topology, scalability, throughput, reliability, and latency that directly affect data center functionality and performance. The computing cluster networking lab explores architecture and technological innovation for meeting the challenges of future large-scale AI & HPC data centers. .. The labs mission is to lead our company to achieve differentiated competitiveness in high-performance computing cluster network infrastructure, and to support Huawei's industry-leading computing cluster.
Position Overview
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.
Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal
Foster a collaborative and innovative work environment
Provide technical guidance and support to team members
Collaborate closely with cross-functional teams internationally, including hardware,
software, and ucode design teams, to ensure alignment of architectural decisions with
product and platform common objectives
Initiate and supervise collaborations with top academic researchers in Israel and abroad
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries.

our company, Huaweis Tel Aviv Research and Innovation Center, is looking for an experienced software engineer with expertise in Linux kernel development to join our Future-Computing-Infrastructure expert group. The group designs and develops technologies for the next-generation data center aimed at accelerating applications, optimizing compute resource utilization, and reducing data-center costs. Our projects involve hardware and software architecture co-design. They require high-level system understanding, creativity and innovative thinking.
If you want to be part of something bigger, if you are a team player with excellent communication skills and motivation to revolutionize data-center technology, youre welcome on board!
What will you be doing?
Design and develop Linux kernel code related to virtual memory management
Research, design and innovate methods, algorithms and supporting data-structures for data caching and prefetching
Participate in research to analyze application performance, identify bottlenecks and optimize various decision-making mechanisms based on benchmarking results
Collaborate with professional team members and various global teams around the world on a daily basis
You will have to think outside of the box and come up with creative ideas to deal with complex challenges within Linux kernel.

our company, Huaweis Tel Aviv Research and Innovation Center, is looking for an experienced hands-on software architect with expertise in Cloud, AI, and Distributed Systems to join our AI-accelerated Cloud Storage group. The team designs and develops cutting-edge cloud technologies that power next-generation AI applications, optimizing performance, scalability, and efficiency.
The role involves both high-level system understanding and low-level grasp of the connection between storage and AI, to push the boundaries of cloud infrastructure for AI workloads. If you want to be part of something bigger, if you are a team player with excellent communication skills and the motivation to revolutionize AI-driven cloud technologies, youre welcome on board!
What Will You Be Doing?
Research, design, and innovate cloud-based AI acceleration technologies
Analyze AI application performance, identify bottlenecks, and optimize decision-making mechanisms
Collaborate with other engineers to develop AI optimizations, Storage backend and related POCs.
Investigate global trends in AI infrastructure and cloud computing to shape long-term architecture
Collaborate with global teams on next-generation cloud solutions for AI.

We are seeking IT system administrator to join the IT group, reporting to the Head of IT. We are looking for a team player, independent and responsible person, quick learner, adapting to changes.
Responsibilities include:
Be part of our Global IT support for all companys worldwide employees.
Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware.
Maintain, upgrade, and troubleshoot physical and virtual PCs / Laptops,
Install, modify, and repair computer hardware and software for all the company worldwide employees.
Prepare and install new employees computers.
Maintain & troubleshoot network equipment Switch, Router, FW

Join us as a Senior DevOps Engineer and shape our cloud infrastructure strategy as we scale. You'll lead critical initiatives across our development lifecycle while working with cutting-edge technologies in a collaborative, growth-focused environment.
You will:
Design and implement cloud infrastructure across development, testing, and production environments on AWS.
Ensure our production environment maintains the highest standards of stability, availability, and performance.
Review the current automation strategy partnering with stakeholders to implement a holistic, scalable solution that supports our multi-year growth trajectory
Work with the Information Security team to improve security, enhance data isolation, access controls and network/application security across our infrastructure.

We are looking for a talented and motivated DevOps Engineer to join Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.
As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetingshelping customers deploy and configure platform successfully.
Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

We are looking for a hands‑on Solutions Architect who bridges DevOps engineering and software development. You will own technical deployments, lead customer proof‑of‑concepts (PoCs), and build rapid integrations that showcase the power of our data‑security platformall while acting as the trusted technical face for our US customers.Key Responsibilities
Responsibilities:
Deployment Leadership Design and execute customer deployments: networking, IAM/Entra ID, databases, CIFS/NFS/SMB shares, and multi‑cloud micro‑services using Terraform & CloudFormation.
Customer‑Facing PoCs Lead PoC projects end‑to‑end: scope requirements, manage calls, set expectations, and ensure technical success.
Rapid Integrations & Automation Write Python scripts and REST‑API workflows to deliver one‑off remediation or integration solutions that wow customers (non‑productized).
Technical Troubleshooting Run backend queries, scripts, and toolkit diagnostics to resolve issues quickly when things dont work as expected.
Documentation & Enablement Create and maintain deployment guides, runbooks, and knowledge‑base articles; continuously improve internal toolkits alongside R&D.
Feature‑Request Project Management Triage and shepherd customer feature requests with the Director of Sales Engineering; hand off to Product when roadmap inclusion is needed.

Required Senior/Principal DevOps Engineer (Cortex Cloud)
Your Career:
Design and scale: Architect, build, and maintain production services for our thousands of Kubernetes clusters
Infrastructure as Code: Develop and manage infrastructure as code to orchestrate our production and development environments
Security first: Secure our production environments and integrate cutting-edge security tools and features
Improve developer experience: Propose and implement processes and improvements that enhance the workflow for hundreds of developers
Build and automate: Create robust CI pipelines and automation processes
Collaborate: Partner closely with development teams to enhance software architecture for improved scalability, reliability, and cost-efficiency
Your Impact:
You'll be a key part of the Cortex Cloud DevOps group, responsible for ensuring our high-scale production services are reliable, secure, and performant. You'll have a direct impact on hundreds of developers by improving their daily workflows,

We are seeking a Technical Product Manager (TPM) who will own the onboarding experience of scanners across cloud, on-premises, and hybrid environments. This person will sit at the intersection of DevOps engineering, and product management, ensuring that is not only powerful and secure but also simple to install, configure, and scale for customers.
You will be responsible for defining how scanners are deployed in customer environments across AWS, Azure, GCP, Kubernetes, and on-prem working with technologies such as Terraform, CloudFormation, Bicep, Helm, Docker, and Kubernetes operators. A critical part of this role is addressing the complexities of hybrid deployments, and at the same time, youll shape the user experience so that complex networking and infrastructure operations are abstracted into clear, reliable, and customer-friendly workflows.
Responsibilities:
Own product onboarding: Define and drive the roadmap for how we are deployed and managed across cloud and on-prem environments.
Networking strategy: Ensure onboarding works reliably in complex networking topologies (multi-cloud, hybrid, segmented on-prem networks), including integration with customer firewalls, routing rules, and identity proxies.
Bridge DevOps and Product: Translate highly technical infrastructure and networking workflows into simple, repeatable product experiences that customers love.

We are looking for a motivated Senior DevOps Engineer to join our group in the Tel Aviv R&D center.
The team is responsible for the reliability and availability of the internal development platform and the enablement of the entire Cortex RnD group.
In this role you will be a part of a DevOps group that is responsible for planning, executing and reporting of the various infrastructure and code projects, as well as managing and executing maintenance work and issues.
You will take part from inception to implementation of new cutting edge solution to enhance Developers experience and productivity
Your Impact:
You will take full end-to-end responsibility for the R&D Internal Platforms that are running in GCP
You will develop Infrastructure-as-code using tools like, Terraform and Gitlab Flux
You will design, build, maintain, and scale the platform services
You will be an active part of building and providing solutions for R&D Teams in CI/CD pipelines and automation processes
Participate in the on-call rotation supporting the applications and infrastructure
You will think of new ways of improving existing processes and creating new once to increase Developers Experience.

We are looking for a talented Azure DevOps Engineer to join our growing team of cloud experts. In this role, you will design, develop, and manage complex projects in Azurepartnering with our customers to solve real-world challenges, drive best practices, and deliver high-impact cloud solutions What Youll Do: Understand customer requirements and transform them into scalable, secure, and cost-effective solutions that help clients succeed in their markets. Lead and mentor DevOps teams, fostering collaboration and technical excellence. Design and implement cloud-native, highly secure, and resilient solutions across diverse environments and workloads. Engage with customers to troubleshoot and resolve issues with professionalism and a service-first mindset. Identify technical gaps and cost-optimization opportunities, presenting clear strategies for improvement. Apply lean and agile principles to maximize customer value through rapid feedback cycles.