Jobs in Tel Aviv-Yafo

With the growing demand for traffic bandwidth in datacenters, efficient physical high-speed communication becomes a crucial part of the development of silicon ASC’s that serve networking infrastructures. We are looking for a PHY (Physical Layer) Architect for our Architecture team. We are positioning you to a key role to face this challenge and become part of our team, so we can continue developing the best devices in the industry. NVIDIA's networking architecture group is seeking for a highly skilled, leading engineer to explore, and define the Physical layer of our products. As a lead engineer, you'll be responsible to define and drive features and have responsibility on the Physical layer architecture. The role will include definition of both the hardware circuitry and the firmware/software that is involved in operating the physical layer communication, with emphasis on the former. We are searching for hardworking, enthusiastic, engineer which has both highly technical skills as well as good personal skills, in order to be able to lead cross groups activities. What you will be doing: • Lead projects across team, starting from processing requirements and definitions from customers and translating those into detailed technical specification for hardware architecture, system embedded software, user interface and high-level design. • Supervise the implementation of projects by team-leaders / developers / QA, participate in low level design reviews, QA test plans reviews, and keep track of changes and handle obstacles. • Define the architecture of implementing physical layer standards into NVIDIA's ASIC devices. • Involved in standard bodies activities and definition of next generation protocols. • Define features for the phy layer, to exploit interoperability between different generations of communication. • Be involved in product definition and the high-speed protocols that the NVIDIA networking devices will support. • Work closely with multi-functional teams - design, backend, system, marketing, firmware, driver, etc. Provide architecture definitions and as a result converge on key design decisions. • Become focal point for NVIDIA’s physical layer networking communication devices. What we need to see: • BS or MS degree in EE • 3+ years of experience in the following fields: Physical layer communication / System / Signal Integrity / high speed communication protocols. • Excellent problem solving, teamwork, and interpersonal skills, • Background in embedded software • Experience in networking • Experience in Wire Line Physical layer protocols like IEEE 802.3, InfiniBand, PCIe, USB, etc. • Communication skills, analytical abilities, technically hands-on. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We are looking for a Senior Software/Firmware Architect to join NVIDIA’s Host Management group. The architect will develop the next-generation management solutions for NVIDIA networking infrastructure environments. We are a team that values technical depth, clear ownership, and respectful collaboration. We believe great architecture is built through curiosity, rigorous thinking, and close partnership across disciplines. We welcome architects who bring different perspectives, ask hard questions, and want to build systems that matter at scale. Our team handles the software and firmware that support host management flows throughout platform control software, baseboard management controllers, hardware interfaces, data monitoring, restoration processes, energy regulation, module management, and system orchestration. In this role, you will develop architecture, lead multi-departmental teams, and convert complex platform requirements into scalable, reliable, production-ready solutions. What you will be doing: • Lead architecture definition for Host Management SW and FW across NVIDIA networking platforms • Define system flows across host software, embedded firmware, BMC, device firmware, and hardware interfaces • Guide the development of architecture for telemetry, recovery, power management, module management, firmware update flows, and control protocols • Convert product, customer, and platform needs into clear technical specifications and implementation plans • Work closely with SW, FW, HW, validation, program, architecture, and customer-facing teams • Provide technical leadership to engineers implementing complex cross-domain features • Own architecture documentation and communicate technical direction clearly to engineering and leadership What we need to see: • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience • 12+ years of experience in system software, firmware, embedded systems, platform management, or networking systems • Strong background in SW/FW architecture for complex systems • Deep understanding of firmware, embedded software, Linux, BMC, host interfaces, and system-level debug • Experience with protocols or technologies such as PLDM, MCTP, NC-SI, PCIe, I2C, USB, CMIS, Ethernet, InfiniBand, or NVLink • Strong communication skills and experience writing architecture documents, specifications, and technical proposals Ways to stand out from the crowd: • Experience with NVIDIA networking products, DPUs, NICs, Switches, CPO/NPO, or hyperscale data center platforms • Background in host management, BMC architecture, platform firmware, data monitoring, system restoration, power/thermal management, or module management • Experience defining SW/FW interfaces across large multi-team programs • Hands-on background in bring-up, validation, production debug, or customer issue resolution • Track record of leading architecture from early definition through successful product delivery

We are seeking a highly motivated Senior System Architect for High Speed Networking Systems in Space to join our team of experts and help build the future of high-performance computing in Space. Our next-generation InfiniBand, NVL and Ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used in vast industries. You will work on some of the most groundbreaking technology as a System Architect for High-Speed Networks at NVIDIA focusing on deployment of system in Space. The products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers. What you'll be doing: • Define and lead the Architecture of Power, Thermal and more ASIC requirement for system to be sent to Space. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing High-speed networking system in the out of space environment. • Crafting and architecting the ASIC and System requirements for NVIDIA Systems to be sent to space. • Leading the development and implementation of the systems to ensure world-class performance and reliability. • Successfully implementing and managing projects to meet ambitious deadlines and performance targets. What we need to see: • BSc or MSc in Electrical Engineering or equivalent experience. • 8+ years of experience in Space environment Systems. • Deep understanding of how to build and integrate systems to be sent to space with various technology components. • Proficiency in advanced system-level space systems. • Excellent communication skills to effectively work with diverse teams and collaborators. • Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment. • Possess strong managerial, problem solving and critical thinking skills. • Attention to details on design and high focus on design quality. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be developing physical design, STA, Logic eq, Power Integrity flows and methodologies for implementation of networking chips and SOCs. • Work closely with block owners, full Chip STA engineers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, IR-drop, EM and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of fulltime relevant experience in the areas listed below. • Proven experience and strong knowledge in key technical domains, including: Physical Design, Backend CAD (Computer-Aided Design), STA (Static Timing Analysis) and Timing closure methodologies. • Familiarity with industry-standard tools like PrimeTime (STA) and PrimePower (Power Estimation). • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. • Strong sense of ownership, self-learning skills, and ability to work both independently and collaboratively with internal and global teams Ways to stand out from the crowd: • Experience in Signoff domains: STA (PrimeTime), Power Estimation (PrimePower), Power Integrity (RedHawk), Formal eq. (Formality) • Knowledge in Tcl/Perl/Python • Versatile • Great teammate NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

We are seeking a highly motivated Senior IC-System Architect for High Speed Networking Systems. To join our team of experts and help build the future of high-performance computing focusing. Our next-generation InfiniBand, NVL and Ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used in vast industries. You will work on some of the most groundbreaking technology as a IC-System Architect for High-Speed Networks at NVIDIA focusing on improving our ASIC solution. The products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers. What you'll be doing: • Crafting and architecting the ASIC - System requirements for NVIDIA Systems focusing on ASIC yield improvements. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing High-speed networking system in the out of space environment. • Leading the development and implementation of the systems to ensure world-class performance, reliability and at scale high quality ASIC manufacturing. • Successfully implementing and managing projects to meet ambitious deadlines and performance targets. What we need to see: • BSc or MSc in Electrical Engineering or equivalent experience. • 8+ years of experience in Chip design, System and HW. • Deep understanding of how to build and integrate systems with various technology components. • Proficiency in advanced system-level Architecture. • Excellent communication skills to effectively work with diverse teams and collaborators. • Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment. • Possess strong managerial, problem solving and critical thinking skills. • Attention to details on design and high focus on design quality. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA is building some of the most sophisticated semiconductor platforms globally, powering breakthroughs in networking, AI infrastructure, and high-performance computing. Our NICs and Switches link the largest AI clusters worldwide. Powered by the AI revolution we are changing how hardware architecture work happens! We strive to define and implement this new agentic hardware architecture, and we are seeking an experienced architecture lead for our AI-for-Architecture team within the Networking Architecture group. You will define and promote intelligent architecture flows across our NIC and Switch architecture groups. You will develop the agents, tools, and processes that transform how architects explore design tradeoffs, and validate models and specifications. In this leadership role with org-wide scope, you will collaborate with an AI engineering team to develop flows from concept to production. You will also serve as the technical authority on what good AI architecture work means at NVIDIA. What You'll Be Doing: • Define the roadmap for AI-driven architecture flows — from data collection, modelling and micro-architecture agents that help architects explore feature options, to review and validation agents that set the standard for output quality. • Work with architects on tough problems, suggest and build agentic flows to address these problems and shorten the time to a good solution. • Partner with the AI engineering pod to translate architecture workflows into production agents, MCP integrations, and eval harnesses. • Act as the domain authority and quality judge: recognize what excellent architecture output looks like and verify that AI-assisted flows meet that bar. • Drive adoption: work with networking architects, run beta cycles, close feedback loops and facilitate widespread usage of our tools/methods. • Represent the team's technical direction to senior architecture and product leadership. What We Need to See: • B.A, M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. • 6+ years in hardware, firmware, or system architecture — NIC, switch, DPU, CPU, or SoC. Experience with architectural workflows defining microarchitecture specs, performance models, or architecture decision documents, etc.. • Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor). • Engineering committed to quality — for example, the ability to judge AI output quality for architecture tasks and suggest validation-fix strategies to improve it. • Strong interpersonal skills — explain AI flows for architects lacking AI engineering expertise, and distill hardware architecture trade-offs for engineers without architectural backgrounds. • Consistent track record driving adoption of new tools or processes across a technical organization. Ways to Stand Out from the Crowd: • Hands-on experience applying LLMs, agents, or prompt-plus-code pipelines to real engineering work. • Expertise with high-speed networking silicon — InfiniBand, Ethernet, switch fabric architecture, NIC/RDMA subsystems. • Familiarity with LLMs: transformer architecture (attention, MLP, MoE) and LLM training/inference parallelism (DP, PP, EP, TP). • Background defining and measuring engineering productivity metrics — making the impact or our work visible to leadership. • Track record shipping internal platform tools or developer-experience infrastructure at scale. NVIDIA's architecture teams are among the most technically demanding in the industry. If you're a senior architect who has already started using AI — and wants to institutionalize that change across an entire organization — we want to hear from you.

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role. What you will be doing: • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures. • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What we need to see: • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • You have 8+ years of relevant experience in software development or research work. • Programming fluency in C/C++ with a deep understanding of algorithms and software development. • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. • Hands on experience doing low-level performance optimizations. • In-depth expertise with CPU and GPU architecture fundamentals. • Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills. Ways to stand out from the crowd: • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. • Excellent understanding of linear algebra. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

We are looking for a Chip Design DFT/Post Silicon Manager to develop the next generation DFT technologies. As a Chip Design DFT/Post Silicon Manager in the DFT team at NVIDIA, you will lead team that transfer our DFT technologies to post-silicon in various projects and support the enablement. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and complex products. Our DFT solutions are unique, innovative, and we are continuously looking for new and creative solutions to meet the challenging goals. What you’ll be doing: Define and develop characterization and validation techniques for post-silicon bring up and production test, spanning electrical, functional, and performance characterization. Working in close coordination with DFT and test engineering, yield, FW and other teams, lead methodology planning for future products and serve as the synchronization point between teams. Day to day, this means: • Driving alignment on tooling, flows, and coverage requirements ahead of tape-out and first silicon • Translating product requirements and silicon behavior into structured characterization plans with clear coverage targets, risk areas, and Product quality metrics (Test Time , Pattern count and so on). • Leading methodology transfer into execution — working with team managers to ensure tooling, methods, and engineers are in place for a smooth handoff • Identifying methodology gaps early in the program cycle and resolving them through cross-functional collaboration What we need to see: • B.Sc. in Electrical Engineering (or equivalent experience) • 8+ overall years of experience with DFT, IC silicon validation, product engineering, test engineering. • 2+ years of managerial experience. • Ability to work in a fast-paced, multifaceted work environment with a focus on technical excellence, innovative thinking, and strong analytical skills. • Ability to self-manage, show leadership, and possess good social skills. • Deep hands-on engineering background — this role leads, but is encouraged to be technically authoritative and roll up sleeves when needed. • Strong cross-functional communication skills; comfortable aligning with US-based teams across time zones and organizational boundaries. Ways to stand out from the crowd: • Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy/VCS). • Experience with Specman/UVM is a plus. • Good understanding of RTL design (Verilog). • Product Engineering experince. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT verification Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities. Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as NVIDIA Cosmos, Llama-Nemotron, Sana, and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field. What you'll be doing: • Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences. • Combine traditional diffusion technologies with the latest and greatest LLMs. • Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions. • Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company. • Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications. What we need to see: • PhD. in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience. • At least 3 years of relevant research experience • Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR • In-depth understanding and active research experience in leading generative AI techniques, with a track record of contributing to advancements in this area • Extensive experience in image and video understanding, generation, and reasoning. Ways to stand out from the crowd: • High proficiency in programming and coding • Degree from a top-tier institution or equivalent experience in a world-class industrial research group • Substantial contributions to the multi-modality or diffusion forefront of research. • Experience in research fields of LLMs. Candidates should apply with a detailed CV, publication list, and brief research statement.

NVIDIA is looking for an experienced DFT Engineer to join an exceptional team of DFT experts to develop the next generation DFT technologies. As a DFT engineer at the networking group at NVIDIA, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals. What you'll be doing: • In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies. • As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production. • Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks. What we need to see: • B.Sc. in Electrical Engineering or Computer engineering or equivalent experience. • 10+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • Familiarity with backend flows. • Strong debugging, problem solving and analytical skills. • Strong communication and social skills are required. • Ability to work in a geographically diverse team environment. • Self motivated, independent and target oriented. Ways to stand out from the crowd: • Prior Design, Verification experience. • Experience in working with back-end on area, power and timing closures. • Experience with CDC flows and tools. • Experience with silicon testing. • Cad tool development experience. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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 what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed. What you’ll be doing: • Prototype end-to-end solutions to improve distributed training and disaggregated inference performance. • Analyze and optimize communication flows across application, transport, and network layers. • Develop system software spanning communication libraries, drivers, and firmware integrations. • Collaborate with hardware, firmware, and SDK teams to co-design network features. • Validate and integrate prototypes into NVIDIA’s AI infrastructure and products. What we need to see: • BSc/MSc/PhD in Computer Science or Electrical Engineering • 5+ years of relevant experience and/or knowledge • Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control. • Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers). • Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed). Ways to stand out from the crowd: • Demonstrated innovation and leadership turning prototypes into impactful product features. • Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs). • Familiarity with NIC firmware scheduling, in-network compute, or congestion management. • Contributions to open-source projects, academic papers, or performance benchmarking tools. • Strong background in AI factory architectures, distributed inference, or network telemetry. NVIDIA is known as one of the most sought-after employers globally. You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing. If you’re enthusiastic about crafting the future — we look forward to hearing from you!

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks. Responsibilities: • End-to-end development, from processing large-scale data to building intuitive web interfaces • Designing and implementing data pipelines, analytics, and insight-driven features • Developing backend services with a focus on performance and scalability using C/C++ and Python • Contributing to frontend development and overall system integration • Implementing and testing network security enterprise solutions • Conducting research and prototyping new features and product ideas • Exploring new technologies and integrating them into the product • Driving a data-driven approach to product and engineering decisions Requirements: • 4+ years of software development experience • Strong programming skills in C, C++, and Python – Must • Familiarity with Java (server-side development experience is a plus) • Experience designing and developing scalable systems and services • Strong data-driven mindset with experience analyzing large datasets • Experience with data processing, pipelines, or data-intensive applications • Familiarity with relational and NoSQL databases (e.g., MySQL, Redis, Elasticsearch) • Familiarity with cloud platforms (preferably AWS) – Advantage • Experience with data analysis tools/frameworks (e.g., Python, SQL, Spark) – Advantage • Experience with modern web technologies (e.g., React, TypeScript) – Advantage • Strong problem-solving skills and ability to work independently • Team player with excellent collaboration and communication skills • Fast learner with the ability to quickly adapt to new technologies • BSc. in Computer Science or equivalent

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato Networks is the world’s leading SASE platform, transforming how enterprises connect and secure their branches, users, and clouds. Our Product Managers are strategic leaders who shape the market, solve complex problems, and drive innovation across our Networking portfolio, including Cloud Connectivity, Private Access, SSE, and SD-WAN. We are looking for a Network Product Manager to help define product strategy, collaborate with the field, and deliver impactful features that move the business forward. What You’ll Do • Lead product initiatives that shape the future of enterprise networking. • Work closely with customers, partners, Sales, and R&D to define and deliver new capabilities. • Translate strategic goals into clear product requirements and drive execution across engineering teams. • Serve as a trusted expert to the field, supporting strategic deals and providing architectural guidance. • Conduct market and competitive research to identify opportunities and influence roadmap decisions. • Present product updates, best practices, and value propositions internally and externally. • Travel periodically to meet customers and partners. What You Bring • 3+ years of B2B Product Management experience. • Strong technical background in enterprise networking and network security. • Excellent problem-solving skills and ability to support complex pre/post-sales scenarios. • Leadership qualities with the ability to influence cross-functional teams. • Experience or familiarity with SASE/SSE, SD-WAN, cloud networking, or security — a strong advantage. • Relevant certifications (CCNP/CCIE/JNCIE) — an advantage. • Background in QA, Sales Engineering, or similar networking roles — an advantage. • Deep knowledge of the top four Cloud Service Providers (Azure, AWS, GCP, OCI) — advantage.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We are looking for an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security at Cato. As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era. Responsibilities: • Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection. • Define and drive product strategy for AI Security initiatives across Cato's platform. • Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams. • Define product requirements and oversee the implementation of new AI Security capabilities and services. • Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs. • Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction. • Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact. • Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market. • Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership. Requirements: • At least 5 years of B2B Product Management experience in enterprise software or cybersecurity companies. • Proven experience building and delivering security products. • Strong domain expertise in cybersecurity, including cloud security, data protection, application security, threat detection, security operations, or related areas. • Experience working on AI-powered products, Generative AI solutions, AI platforms, or AI-driven user experiences. • Strong understanding of modern AI technologies, including Large Language Models (LLMs), AI agents, orchestration frameworks, tools, and AI application architectures. • Demonstrated ability to lead complex product initiatives from concept to launch in fast-paced environments. • Strong technical aptitude and ability to work closely with highly technical engineering and research teams. • Excellent communication, prioritization, and stakeholder management skills. • Proven ability to influence and drive alignment across cross-functional teams. • Technical background as a software engineer, security engineer, security researcher, solutions engineer, or similar technical role.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We are looking for an experienced Automation QA Engineer to join us. You will be responsible for E2E testing new features of our fast-evolving product, by building a complex network environment and simulating enterprise customers' topologies and requirements. In addition, you will work with our Automation tests and lab management frameworks and will have the chance to make your first steps in the SW Automation development world. In your role - you will be the only gatekeeper for various new features and enhancements before they are deployed in our production cloud. Responsibilities: • Plan and execute manual/automated performance tests for core network infrastructure and edge devices. • Design, develop, and maintain robust test automation frameworks to enable continuous integration and validation. • Analyze and debug complex network failures, leveraging automation, logs, and advanced diagnostic tools. • Lead validation efforts for new projects and features, defining test coverage and automation strategy from early design stages. • Design and deploy complex physical and virtual network topologies to support automated end-to-end testing. Requirements: • CCNA certification and a strong understanding of networking fundamentals, including • TCP/IP, UDP, VLANs, HTTP/HTTPS, DNS, and routing protocols. • Hands-on experience with Linux networking and troubleshooting. • 3+ years of experience developing test automation in Python using OOP principles. • Proven ability to debug complex, multi-component systems. • A team player with excellent collaboration skills • Ability to multi-task and work in a fast-paced environment Advantage: • Hands-on experience working with physical network equipment in a lab environment. • Experience with virtual environments like ESX, AWS, Azure or GCP • BSc degree in Computer Science or a related field. • CCNP or JNCIP certification. • Familiarity with network test equipment or traffic generators.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. As part of this exciting journey, Cato recently joined forces with Aim Security — a fast-growing innovator redefining how organizations secure and build with AI. Backed by Cato’s global reach and powered by Aim’s startup energy, we’re building the future of AI Security together. We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure. We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration. You won’t be working on isolated experiments. You’ll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic. This role requires strong scientific discipline and the maturity to balance innovation with practical constraints. What you’ll do • End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic. • Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis. • Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust. • Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment. What you bring • 5+ years of hands-on experience applying NLP/DL algorithms, techniques to real-world problems, with strong intuition for textual data and model behavior. • Experience working with LLMs, with a strong grasp of practical best practices and the judgment to apply them throughout the R&D lifecycle when building task-specific models. • Strong proficiency in Python and modern DL frameworks (PyTorch, HuggingFace, etc.). • Experience designing experiments, defining metrics, and analyzing model failures. • A strong drive to solve complex AI security challenges, with both curiosity and pragmatism. Why join us • Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. • Bridge the best of startup energy with the scale and reach of Cato Networks: you’ll build for enterprise-grade reliability and commercial scale, and also retain the innovation spirit of a startup.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato is building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs. We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic. This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path. The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams. Responsibilities • Build and lead Cato’s AI Platform team: hiring, mentoring, architecture, technical direction, and execution. • Own the AI security runtime platform for high-throughput, low-latency inline security decisions across Cato’s global cloud and PoPs. • Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine. • Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health. • Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout. • Work closely with research and algorithm teams to productionize AI security models and algorithms at scale. • Define the long-term platform strategy for AI runtime and model serving at Cato. Requirements • 3+ years of leadership experience as a team lead, tech lead, or engineering manager. • 3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or AI runtime platforms. • Strong experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar. • 3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java. • Experience with performance optimization, scalability, observability, and SLO-driven production ownership. • Strong system design skills, especially around distributed systems, performance, reliability, and production infrastructure. Advantages Experience with GPU optimization, GPU scheduling, GPU resource efficiency, quantization, runtime acceleration, or large-scale model serving.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato Networks is looking for a high-energy, talented people to join the Cato Security team. As a Security Engineer, you will take part in product content development and build logics and signatures to mitigate emerging security threats. Your work outcome will feed Cato Cloud security products such as the IPS and Suspicious Activity Monitoring with the latest protections. You will analyze protocols and investigate various attacks utilizing network analysis tools and modern data analysis frameworks. Joining Cato is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security. Responsibilities: • Research and analyze new threats and develop product content such as IPS signatures and logic to provide the best protection for Cato’s customers. • Enhance product accuracy and its ability to detect new threats in the dynamically-changed security landscape. • Monitor your work using different monitoring tools and methods over the cloud. • Utilize Cato Data Warehouse with big-data technologies to support your work. • Requirements: • 2-4 years of hands-on experience in the cyber-security industry. • Knowledge of networking architecture and protocols (TCP/IP, DNS, SSL, HTTP). • Understand the cyber-security landscape, and common attack scenarios: Malware C&C, Drive-by attacks, Phishing, Network scans, etc. • Experience (Hands-on) with Wireshark and PCAP analysis. • Experience with signature development for IPS and Firewall - Advantage • Experience with at least one scripting language such as Python or Ruby - Advantage • Analytic spirit: define a thesis and validate it based on in-depth analysis and technical facts. • Excellent English and communication skills. • Team player, responsible, and well-organized. • B.Sc.. in Computer Science, Information technology or Mathematics

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re looking for an experienced Software Engineer to join our RBI (Remote Browser Isolation) team. In this critical role, you will take part in building a new SaaS product from scratch to production and solve architectural and engineering challenges. You will be building highly scalable solutions, providing infrastructure and value to a new asset management product. Responsibilities: • Develop a new SaaS product from scratch to production, and participate in defining the specifications, architecture, and other tech-related areas of the project. • Take ownership of end-to-end development, from processing large-scale data to building backend services that power web interfaces. • Work closely with multiple stakeholders – Product Management, Research, SOC and NOC services, and Automation teams. • Design and implement enterprise platform solutions. • Research new technologies and adapt them for use within the company's products. • Collaborate with multiple development teams to deliver scalable, high-quality solutions. • Participate in code reviews, architectural discussions, and continuous improvement of engineering practices. Requirements: • 5+ years of backend development experience. We’re using Java, Go, Play Framework, Spring Boot, GraphQL, etc. • Experience with Chromium and video streaming technologies • Familiarity with AWS technologies. • Experience building and operating high-scale SaaS microservices in production. • Experience testing services using continuous integration methodologies. • B.Sc. degree in Computer Science from a recognized university or equivalent experience. • Well organized, execution-oriented, motivated, a fast learner, independent, and an excellent problem solver.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We are looking for a high-energy, self-driven professional Office Admin to join us! Responsibilities • Serve as the first point of contact for employees and visitors, welcoming and assisting guests, candidates, and vendors. • Oversee day-to-day office operations, including ticket support, mail handling, managing orders and supplies, and maintaining inventory. • Manage relationships with suppliers, including contracts, order processing, payments, and invoice tracking. • Assist in planning and executing internal and external events, such as team socials, holiday celebrations, and wellness activities, while supporting HR with onboarding, offboarding, and training. • Act as the point of contact with building management, coordinating parking, maintenance, and office logistics. • Provide administrative support and handle ad hoc tasks for other departments as needed. Requirements • Availability to work onsite in Tel Aviv, Sunday–Thursday, from 8:30 AM to 5:30 PM - A must. • 1–2 years of experience in office administration, ideally in a startup or high-tech environment. • Strong multitasking abilities, attention to detail, and effective task prioritization. • Service-oriented mindset with a proactive, can-do attitude and excellent people skills. • Excellent verbal and written communication skills in Hebrew and English. • Proficiency in Microsoft Office Suite; experience with task management tools is an advantage. • Positive, collaborative, and adaptable in a fast-paced environment.