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לפני 14 שעות
Location: More than one
Job Type: Full Time
we are a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the worlds largest data centers, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, our company has a long history of providing secure solutions for AI products and securing the AI pipeline.
We are seeking expert AI engineers who are passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high-performance networking systems.
What you'll be doing:
Research novel AI techniques to secure next-generation networks and apply them to existing our company products.
Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
Collaborate with our company researchers to explore innovative ways to improve security in networking products.
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio.
Requirements:
Holding a PhD or MSc or equivalent experience in Electrical Engineering, Computer Science, or a related field with a focus on AI.
5+ years of relevant experience.
Experience with innovative AI tools, frameworks, and methods related to cybersecurity incident detection and prevention.
Background in cybersecurity, networking (TCP/IP), and network security (TLS/IPSec).
Solid programming skills and a deep understanding of secure system design.
Ways to stand out from the crowd:
PhD with a track record of publication in top peer-reviewed AI conferences or equivalent experience leading AI projects.
Expertise with LLMs and recent advancements in neural networks.
Architectural knowledge of system security.
Understanding of common attack vectors targeting network devices and methods to mitigate them.
A proven track record to translate sophisticated research into practical solutions.
This position is open to all candidates.
 
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7 ימים
Job Type: Full Time
our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technologyand outstanding people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an worker , youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world.
we are seeking a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers networks. The position will take on a lead role, working with teams with varied strengths across our company and with external partners to research security requirements for networking products.
What you'll be doing:
Lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
Apply innovative security primitives to enable secure platforms.
Collaborate across external and internal hardware and software research teams.
Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
Research network telemetry for supporting secure networking platforms confidentiality, integrity, and availability.
Requirements:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
At least 5 years of experience.
Background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Proven security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, RDMA networking, and machine learning.
Architectural background in hardware and software systems codesign.
This position is open to all candidates.
 
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5 ימים
Location: Yokne`am
Job Type: Full Time
our company's networking performance team is developing tools for benchmarking and profiling our company's cutting-edge networking technologies. Our products are used by engineers within our companyand across the industry to optimize networking performance quickly and accurately. We are evolving our suite of expert-driven tools to create an AI-powered assistant that can autonomously benchmark and analyze complex networking performance issues in the world's most advanced data centers. This is an opportunity to work on an innovative strategic project, combining systems engineering with cutting-edge generative AI, directly impacting how our company's top customers optimize infrastructure.
What You'll Be Doing:
Build the core components of our AI assistant, translating a visionary architecture into a robust, production-ready system
Enhance and extend our core telemetry capture engine (Python and C++) to provide the high-fidelity data needed for analysis
Develop intelligent agents and workflows using modern AI frameworks to automate the 'benchmark-analyze-remediate' lifecycle
Design and implement sophisticated techniques for grounding LLMs with private data (e.g., RAG), ensuring the assistant's outputs are factually accurate and reliable
Partner closely with our domain experts in performance benchmarking and data analysis to create a cohesive, end-to-end platform.
Requirements:
B.Sc. in Computer Science or a related engineering field
A minimum of 5+ years of professional software development experience, for which an advanced degree with a strong portfolio of peer-reviewed research, conference presentations, significant open-source contributions, or other demonstrated expertise may be considered an equivalent
Experience developing applications with Large Language Models (LLMs), demonstrated through professional work, significant open-source contributions, or advanced academic research projects
Familiarity with modern AI development frameworks (e.g., LangChain, LangGraph, LlamaIndex) and concepts (Agentic AI, MCP servers, etc.)
A collaborative mindset with excellent communication skills, and a passion for mentoring and learning from talented peers
Ways To Stand Out From The Crowd:
M.Sc. or Ph.D. in a relevant field, particularly with a focus on AI or distributed systems
Proven proficiency in both C++ and Python
Experience connecting AI agents to unstructured data sources (e.g., databases, Confluence APIs, knowledge graphs)
A background in data analysis and visualization (e.g., pandas, Jupyter).
This position is open to all candidates.
 
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7 ימים
Job Type: Full Time
our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technologyand outstanding people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an worker, youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking an experienced Malware Research Architect who can design and implement advanced malware detection systems using Virtual Machine Introspection (VMI) techniques. The ideal candidate should have deep expertise in developing out-of-VM security solutions that can detect and analyze sophisticated malware, rootkits, and other cyber threats by introspecting and reconstructing volatile memory states of guest operating systems and file system states. Strong knowledge of file systems, and hypervisor technologies is essential. The candidate will craft automated malware detection systems that use VMI and file system techniques to predict early signs of malware execution and accurately classify unknown threats.
What you'll be doing:
Lead, research, design, develop and implement solutions for next-generation secure networks.
Develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
Collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
Architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.
Requirements:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
5+ years of experience.
Background in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Demonstrated security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, networking, and machine learning.
Architectural background in hardware and software systems codesign.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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לפני 13 שעות
חברה חסויה
Job Type: Full Time
We are looking for a Senior AI Security Architect!
our company Networking product security team is looking for an outstanding technical AI security architect with hands-on experience to help us improve the security posture of our company Networking AI products. In this role you will help to define and execute our AI products development methodologies. You'll be responsible to create development methodologies that reduce risk, threats, and vulnerabilities in our company Networking AI products.
What youll be doing:
Be involved in defining the SLDC for our company Networking AI products.
Define the correct and secure usage to AI tools in our development process
Assist our architecture and R&D teams in creating more secure AI products.f
Perform security threat modeling for our company Networking AI products.
Design and make security architecture recommendations to satisfy security guidelines and requirements.
Mentor teams and developers, promoting guidelines on the best AI security practices.
Be a technical focal point across multiple development teams and provide hands-on security engineering expertise.
Requirements:
Academic degree in computer science, electrical engineering, or related field. Candidates with equivalent experience will also be considered.
Demonstrated experience of 5+ years in security engineering.
Experience with secure development of AI applications.
Experience with secure usage of AI-based development tools.
Ability to lead significant changes in large-scale organization.
Ability to work independently, and collaboratively in a constantly evolving environment.
Excellent communication and interpersonal skills.
Ways to stand out from the crowd:
M.Sc. or PhD in computer science, electrical engineering, or related technical field.
Background in managing R&D teams.
Experience with high-scale deployment challenges.
This position is open to all candidates.
 
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4 ימים
Job Type: Full Time
We are now looking for a Senior AI System Security Architect!
we are looking for an outstanding technical security architect with system architecture focus to design, validate, and guide implementation of secure architecture of its core products. The candidate is expected to: define problems & deliver highly innovative solutions that lead to significant differentiation in the industry, translate customer needs into architectural, technical & strategic direction, and help to resolve objectives & long-range goals of the Security organization. Leaders in this role will help reduce risk, threats, and vulnerabilities in our companys Data Center products and services.
What youll be doing:
Own the security requirements for our company networking systems in a variety of product lines.
Work with technical and senior leadership staff to turn business directives into functional implementations.
Collaborate between multiple business units and development groups to ensure a robust and secure product posture, from design to implementation in multiple system level products
Provide hands-on security engineering expertise across a wide variety of platforms and services
Provide strategic and tactical expertise in orchestrating, securing, deploying solutions; and in defining relative architectures.
This role extends across multiple groups and excellent working knowledge in the following areas of expertise is necessary for success:
Designing system Security Architecture that scales
Embedded System Architecture and Design
Deep understanding in Root Of Trust (ROT) technologies
Networking security protocols and concepts
HW, embedded, SW and cloud cybersecurity solutions architecture.
Requirements:
BS / MS / Ph.D. in EE or CS. Ph.D. in CS, EE (related technical field) or equivalent experience
5+ years of experience in the security industry, especially in System level products including HW, FW and SW components.
Familiarity with System on Chip (SOC) level design or architecture.
Background with system level threat modeling, risk management frameworks and risk mitigation techniques.
Experience with complex compute and networking systems security architecture and engineering
Excellent communication and interpersonal skills.
Ways to stand out from the crowd
Proven experience in technical customer-facing roles, presenting and discussing security and system architecture requirements and solutions.
Deep understanding of Cloud infrastructure use cases and security solutions
Demonstrated success in driving security innovation across the industry
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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24/08/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a AI Research Scientist to join us
WHAT YOULL DO

Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.
Requirements:
An M.Sc. degree in computer science, statistics, or a related field is a must; a Ph.D. degree is an advantage.
At least 3 peer-reviewed publications in reputable academic journals or conferences.
5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
Experience and hands-on familiarity with distributed cloud systems.
Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs. Knowledge of programming languages that are used in AI researchlike Pythonand experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
Excellent communication (both written and verbal) and presentation skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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7 ימים
חברה חסויה
Location: More than one
Job Type: Full Time
we are looking for an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team. we are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for an outstanding architect for a senior HPC, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What you will be doing:
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements.
Requirements:
A degree in Computer Science, Engineering, or a related field
5+ years of experience
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.
Python programming and bash scripting experience.
Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
Ways to stand out from the crowd:
Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Background with RDMA (InfiniBand or RoCE) fabrics.
This position is open to all candidates.
 
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7 ימים
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
we are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!
What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.
Requirements:
B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
5+ years of experience in VLSI CAD tool development, with a strong focus on integrating AI/ML techniques into EDA workflows.
Proficiency in Python and at least one AI/ML framework (such as TensorFlow, PyTorch, or scikit-learn).
Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence).
Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design challenges.
Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make).
Strong analytical skills in evaluating the impact of AI solutions on design quality, performance, and productivity.
Excellent communication skills and the ability to work cross-functionally in a fast-paced environment.
Self-motivation, attention to detail, and a track record of delivering robust solutions to production.
Ways to stand out from the crowd:
Demonstrated experience deploying AI/ML models in production VLSI CAD environments.
Contributions to open-source AI/EDA projects or publications in relevant conferences/journals.
Deep understanding of VLSI design challenges-such as timing closure, power optimization, or yield enhancement-and how AI can address them.
Experience with cloud-based or distributed compute environments for large-scale AI training and inference.
Strong ownership, curiosity, and a passion for continuous learning and innovation.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.
Requirements:
3+ years of experience in MLOps, ML infrastructure, or AI platform engineering.
2+ years of hands-on experience in ML pipeline automation, large-scale model deployment, and infrastructure scaling.
Expertise in deep learning frameworks (like PyTorch, TensorFlow, JAX) and MLOps platforms (like Kubeflow, MLflow, TFX).
Proven track record of building production-grade ML systems that scale to billions of predictions daily.
Deep knowledge of Kubernetes, cloud-native architectures (AWS/GCP), and infrastructure as code (Terraform, Helm, ArgoCD).
Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code.
Experience with observability & monitoring stacks (Prometheus, Grafana, Datadog, OpenTelemetry).
Strong background in security, compliance, and model governance for AI/ML systems.
Leadership & Execution:
Proven ability to lead high-impact engineering teams in a fast-paced AI environment.
Ability to drive technical strategy while remaining hands-on in critical areas.
Strong cross-functional collaboration skills, working closely with research and engineering teams.
Passion for automation, efficiency, and designing scalable self-service MLOps solutions.
Experience in mentoring and coaching engineers, fostering a culture of innovation and continuous learning.
It Would Be Great If You Have:
Experience working with LLMs and large-scale generative AI models in production.
Expertise in optimizing model inference latency and cost at scale.
Contributions to open-source MLOps tools or AI infrastructure projects.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Catos unique technology inspired a brand-new product category, later named SASE by Gartner and a market expected to reach $25 billion by 2027.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader dont miss it!



We are looking for a unique, hands-on Machine Learning / AI Developer to design and implement AI-powered solutions that improve business processes across the company. This role focuses on delivering custom-built tools and workflows that off-the-shelf products cannot provide, working closely with multiple departments such as Customer Success, Sales, HR, and more.

Responsibilities:
Collaborate with stakeholders across global teams to identify opportunities where AI can enhance business processes.
Design, develop, and deploy AI-based solutions tailored to organizational needs (e.g., customer success agents, HR process automation, sales optimization).
Build workflows, agents, and ML pipelines, ensuring solutions are production ready.
Integrate diverse data sources and leverage multiple data types to create actionable insights.
Work closely with business units' management to address specific operational challenges.
Requirements:
4+ years of hands-on software development experience with a focus on AI/ML applications.
Strong proficiency in Python and experience with ML workflows and MLOps.
Familiarity with workflow orchestration tools and/or process automation tools.
Solid understanding of data integration and data-driven solution design.
Ability to work cross-functionally and interface effectively with multiple departments.
Strong initiative and problem-solving skills, with the ability to independently gather requirements and propose solutions.
Passion to AI-driven process optimization, ideally in business domains as mentioned above.
Familiarity with cloud platforms and modern AI frameworks is an advantage
This position is open to all candidates.
 
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