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We are a cutting-edge cybersecurity lab dedicated to addressing next-generation threats through advanced AI and machine learning. Our work spans multiple domains, including endpoint protection, cloud security, and AI-driven defense technologies. Our mission is to invent and implement breakthrough solutions that provide Huawei with a strategic edge in the global cyber defense landscape. By bridging research and engineering, our teams transform innovative concepts into real-world solutions that safeguard enterprises and critical infrastructure. We also maintain close collaborations with leading universities and international innovation hubs.
Role Overview
We are seeking a Senior Applied Machine Learning / AI Engineer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models, specifically for cybersecurity applications. This role combines applied ML engineering with innovation and research, requiring someone who can move seamlessly from proof-of-concept to production, and lead initiatives that drive our AI-driven security strategy.
Key Responsibilities
Lead the design, training, and deployment of advanced ML/DL models for cybersecurity use cases (malware detection, anomaly detection, network behavior analytics, adversarial ML defense, etc.)
Drive innovation by developing proof-of-concepts, exploring novel AI techniques, and translating research findings into practical, scalable solutions
Collaborate with cross-functional teams (security researchers, software engineers, product managers) to bring ML-driven features into production environments
Analyze large-scale, heterogeneous cybersecurity datasets (logs, network traffic, endpoint telemetry, threat intel)
Implement robust model monitoring, explainability, and optimization for real-world environments
Stay at the forefront of advances in AI, data science, and cybersecurity; identify emerging opportunities and mentor junior engineers/researchers
Represent the company in external collaborations, conferences, and innovation forums.

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 team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

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.

Perlis Cyber Protection Labs is responsible for researching innovative breakthrough product-oriented technologies for various cyber security products such as EDR, SASE, Threat Intelligence and more.
We are seeking an experienced C++ Developer with a strong background in building sophisticated systems to join our innovation group. This role focuses on developing a Browser Detection and Response (BDR) System aimed at enhancing browser security for users worldwide.
Key Responsibilities:
Design, develop, and maintain new complex C++ features with an emphasis on chromium browser security and internals.
Collaborate with teams across the world for productization
Contribute to the innovation and enhancement of security features within browser technologies.
Why Join Us:
Work on projects impacting billions of users.
Collaborative and innovative environment.
Competitive salary and benefits.
Flexible Hours Full or part-time, ideal for students!

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.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.

Looking for a CPU Architect for codesign of HW/SW feature for our CPUs for cellphones and servers. The role includes but is not limited to:
Analysis of technical challenges and determination of whether to solve them by a combination of new HW and new SW or by only one of these
Invents corresponding HW features and SW solutions to address above challenges. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel architectures for CPU. Develops the end-to-end architecture of new instructions (when applicable) in coordination with partners. Drives the inclusion of the feature in a CPU project working with micro-architects, designers and verification experts. (the HW/SW features are typically in the form of new instructions or of other Instruction Set constructs and belong to one of following domains: dense compute, general purpose accelerations, use case specific accelerations, system level instructions, Security related technologies, or instrumentation instructions.
Models CPU functionality, performance and power in simulators, analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usage.
Provides experimental/proof of concept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews and influences cross functional roadmaps.
Collaborates with SW and HW architects, design, verification, and validation engineers during the execution of the project. Finds mitigations for issues that arise during implementation of his/her features.

Looking for a CPU Architect with expertise in HW/SW codesign of dense computational logic (e.g., vector, matrix)
The role includes but is not limited to:
Analysis of technical challenges in relevant use cases and determination of whether to solve them by a combination of new HW and new SW or by only one of these
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usage.
Invents corresponding HW features and SW solutions to address above challenges. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel architectures for CPU. Develops the end-to-end architecture of new instructions in cooperation with partners. Drives the inclusion of the feature in a CPU project working with micro-architects, designers and verification experts.
(Preferably) models CPU functionality, performance and power in simulators.
Provides experimental/proof of concept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews and influences cross functional roadmaps.
Collaborates with SW and HW architects, design, verification, and validation engineers during the execution of the project. Finds mitigations for issues that arise during implementation of his/her features.

we are Huawei's Tel Aviv Research and Innovation Center, where we pioneer next-generation data center technologies. Our Future-Data-Center-Infrastructure group specializes in co-designing hardware and software architectures that accelerate AI workloads, optimize resource utilization, and reduce operational costs.
Working at the intersection of academic research and practical implementation, our team develops cutting-edge solutions for AI infrastructure challenges, with a particular focus on Generative AI and large language models (LLMs). We pride ourselves on fostering an environment where system-level thinking, innovation, and technical excellence drive our success in reshaping the future of data center technology.
Role Overview
As a Senior Gen.AI Infrastructure Engineer in our AI innovation team, you'll play a crucial role in advancing our LLM infrastructure capabilities, focusing on research, implementation and optimization of state-of-the-art solutions for model deployment and serving
What will you be doing?
Explore new directions and seek new opportunities for innovation through academic / industry trends tracking
Design and implement advanced optimization techniques for transformer-based models
Conduct research and stay current with academic developments in LLM optimization
Drive architectural improvements for large-scale model serving systems
Develop and optimize infrastructure components using PyTorch and other frameworks
Implement and optimize model serving solutions using frameworks such as vLLM, TGI, and MindIE
Collaborate with cross-functional teams to improve system architecture and performance.

Please submit your resume to be added to our student job database, and once a student position opens, we will be able to contact you if it's a match.

our company, Huaweis Tel Aviv Research and Innovation Center, is looking for an experienced hands-on software engineer and compiler technology expert 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!

About the Role Allot is looking for an experienced DevOps & Lab Systems Engineer to support our R&D on-premises lab operations. The role focuses on system administration, networking, and infrastructure management while ensuring our engineering teams have reliable, secure, and efficient lab environments. Responsibilities
* Manage and maintain servers (Linux and Windows), virtualization platforms, and storage in the R&D lab.
* Configure, monitor, and troubleshoot networking equipment (switches, VLANs, VPNs, routing, firewalls).
* Handle hardware lifecycle including racking, cabling, RAID setup, and monitoring.
* Provide technical support to R&D teams using the lab for development and testing.
* Maintain system stability, backups, and security across lab infrastructure.
* Assist with container platforms (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitLab CI) when required for lab operations.
* Support automation tasks using tools such as Ansible or Terraform under the guidance of the DevOps team.

Region (Website):
Israel ( N/A)