Jobs in Tel Aviv-Yafo

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.

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’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

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 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 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 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!

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

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. Data is at the heart of every business—and as AI changes how organizations use it, protecting and governing that data has never mattered more. We’re looking for a Senior Product Manager to join our AI & Data Security department and shape how enterprises discover, understand, govern, and protect their sensitive data. You’ll bring proven experience in this domain, a strong product perspective, and the drive to turn complex security challenges into products customers love to use. The opportunity You’ll own a strategic product area spanning Data Security Posture Management (DSPM) and data governance, with meaningful influence over its vision, roadmap, and execution. Working closely with customers, engineering, security researchers, and design, you’ll build capabilities that help organizations answer essential questions: Where is our sensitive data? Who can access it? Where are we exposed? And what should we do next? This is an opportunity to combine technical depth, customer insight, and product judgment to deliver measurable impact—and help enterprises adopt AI with confidence. What you’ll do • Define the product vision, strategy, and roadmap for your area, connecting customer needs, market opportunities, and business goals. • Lead discovery with enterprise customers and security and governance teams to understand their challenges, validate opportunities, and shape solutions. • Drive capabilities across sensitive-data discovery and classification, exposure management, access governance, risk prioritization, and remediation. • Translate complex technical and policy requirements into intuitive workflows, clear product requirements, and actionable development priorities. • Partner with engineering, research, and design throughout the product lifecycle, making thoughtful tradeoffs around value, usability, accuracy, scale, and performance. • Work with sales, marketing, and customer success to bring capabilities to market, communicate their value, and drive adoption. • Define success measures and use customer feedback and product insights to improve outcomes continuously. • Help shape our broader data security strategy as enterprise environments and AI use cases evolve. What you’ll bring • 3+ years of product management experience building B2B enterprise software, including substantial experience in data security, DSPM, or security-focused data governance. • A proven track record of delivering products in this domain, with examples of capabilities you owned, customer adoption, and the impact they achieved. • A strong understanding of sensitive-data discovery and classification, data exposure, permissions and access controls, and security or governance policies. • Technical fluency in cloud and enterprise data environments, with the ability to discuss architecture, integrations, and technical tradeoffs confidently with engineering teams. • Strong customer discovery skills and the ability to turn complex, sometimes conflicting needs into a clear product direction. • Experience owning a product area from strategy through launch and iteration, balancing long-term ambition with focused delivery. • Clear communication and the ability to align teams, influence decisions, and explain complex ideas to different audiences. • Curiosity, initiative, and sound judgment when working through ambiguity. Experience that would be a plus • Data lineage, catalogs, retention, residency, or compliance and audit workflows. • DLP, database security, identity and permissions, or automated remediation. • Products spanning cloud, SaaS, and on-premises data environments. • Securing data used by AI applications, copilots, or agents. • Working directly with enterprise security leaders, data owners, and governance teams. Why this role You’ll work on a consequential problem with room to shape both the product and its direction. Your decisions will help customers understand their data, reduce exposure, and put governance into practice—while enabling their businesses to move forward. We value different paths into product management. If you bring proven experience in data security or security-focused data governance, strong product judgment, and the ambition to build something that matters, we’d love to hear from you—even if you don’t meet every preferred qualification.

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 Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by Cato Networks, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified. This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums. Responsibilities: • Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends • Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence • Explore large-scale datasets using SQL and other data analysis methods to generate research insights • Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production • Research how attackers use AI and how AI can improve threat detection, investigation, and response • Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights • Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions • Collaborate with product, data, engineering, and research teams to improve detections and product intelligence • Independently lead research initiatives from idea and data exploration to publication and presentation. • Travel internationally for company events and cybersecurity conferences at least six times per year. Requirements: • At least 5 years of hands-on experience in cybersecurity, threat intelligence, security research, or security analysis • Strong understanding of the cybersecurity threat landscape, including threat actors, malware, phishing, C&C, exploitation, cloud threats, and attacker behavior • Proven experience in threat intelligence research, including IOCs, TTPs, MITRE ATT&CK, campaign tracking, and threat actor profiling • Strong data exploration skills, with practical experience using SQL to analyze large-scale security datasets • Experience using AI tools, AI coding assistants, and agentic workflows for research, automation, and data analysis • Ability to build scripts, internal tools, or agentic systems to support threat research and intelligence workflows • Strong technical writing skills, with experience publishing blogs, reports, whitepapers, or public research • Strong presentation skills, with the ability to represent the company at conferences and external events • Self-learner with high curiosity, strong ownership, and the ability to manage complex research independently • Ability to collaborate effectively with cross-functional teams, including product, engineering, and data teams • Fluent English with excellent written and verbal communication skills • Willingness to travel abroad for conferences, customer events, and company events at least six times per year Advantageous: • Experience researching AI threats, LLM abuse, AI-assisted attacks, or AI-powered detection • Experience building agentic systems, automation frameworks, or AI-based research workflows • Background in engineering, backend systems, data infrastructure, or security platform development • Experience with data warehouses, BI tools, notebooks, or large-scale telemetry analysis • Experience with XDR, MDR, SIEM, EDR, NDR, SASE, or cloud security products

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 bright, passionate and experienced Apple Platforms Software Engineer to join the Cato team. In this critical role, you will be developing our Client Application which is used by hundreds of thousands of users worldwide. You will be owning aspects of the application’s full life cycle, from design, and development to CI/CD. Responsibilities: • End-to-end ownership of our macOS/iOS clients, designing, developing and delivering new features from scratch. • Assisting DevOps with maintaining and enhancing our build system. • Researching Apple platform and ecosystem for relevant technologies. • Support the entire application lifecycle, including release management and supporting production. • Collaborate with QA, automation, product-management and other engineering teams to deliver integrated features. Requirements: • 4+ years of experience developing for macOS and/or iOS. • Proficiency in Swift and Objective-C. • Deep understanding of a range of Apple’s core technologies. • Experience with SwiftUI and modern Apple development practices. • Deep understanding of Apple’s multithreading models. • Excellent understanding of software engineering principles. • Passionate about delivering a great user experience. • Motivated and independent fast learner who is great at problem-solving. • A team player with excellent communication and collaboration skills. • Computer Science degree from a recognized higher education institution or equivalent experience. Major advantages: • Experience developing and integrated cross-platform C/C++ components. • Prior experience developing VPN clients. • Prior experience developing Endpoint Security clients. • Background in low-level system programming or macOS internals. • Extensive experience with Networking and Network Protocols on Apple platforms. • Apple Network Extension or Endpoint System Extension development experience. • CI/CD pipeline development and maintenance. • Knowledge of sandboxing, notarization and macOS security best practices. • Experience developing App extensions. • Experience developing Daemons and Launch Agents. • Acquaintance with macOS System Administration.

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 Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems. Responsibilities: • Continuously checking and improving security measures to protect our systems. • Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem. • Helping developers follow secure coding practices and learn how to prevent security risks. • Staying updated on new security threats and best practices to keep our security standards high. • Contributing to Cato’s security research blog. • Evaluating the security of AI and agentic systems, and applying AI-assisted tools to security research. Requirements: • At least 3 years of experience in application security or vulnerability research. • Hands-on experience in penetration testing for web, mobile, infrastructure, and thick client applications. • Experience bypassing security tools like RBI, EDR, and DLP. • Programming skills, with a preference for Java, Go, or C. • Ability to find and fix security flaws in open-source libraries and third-party software. • Knowledge of supply chain attacks and how to prevent them. • Hands-on experience with AWS cloud attacks and mitigations (preferred). • Understanding of microservices architectures, Docker, and Kubernetes. • Strong problem-solving skills and the ability to work independently. • Good communication skills and a passion for sharing knowledge. • Understanding of network security and encryption protocols. • Familiarity with AI and agentic systems, including their security risks and testing approaches. Additional Skills (Preferred): • Experience using SAST/DAST tools for static and dynamic code analysis. • Experience working in Agile teams and collaborating with different departments. • Security certifications like OSCP, CRTP, OSWE, or similar. • Ability to lead security projects and initiatives. • Adaptability to a fast-paced environment. • Knowledge of current security threats and how to defend against them. • Experience with writing security blogs, CVE research, or bug bounty programs is a plus. • BSc in Computer Science- an 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. About the role We’re building a new product at the intersection of AI and data security - with startup speed, real ownership and Cato’s enterprise scale behind us. Join Cato DataSec to turn complex security data into a product that helps enterprises adopt AI with confidence. This is an opportunity to shape a product from its earliest stages: solve open engineering problems, make architectural decisions and get working software into customers’ hands. You’ll build on Cato’s global SASE cloud, with real customers and real data from day one. The engineering spans distributed systems, high-volume data processing, advanced analytics and the frontend experience that brings them together. The challenge is turning fragmented signals into intelligence that customers can act on - quickly, reliably and at scale. What you'll do • Ship complete features. Own capabilities end to end, from data pipelines and backend services through APIs and frontend implementation, rollout and iteration. • Find connections in complex data. Develop correlation and analytical capabilities that turn large volumes of security events into meaningful insights. • Build for scale. Design and operate streaming and batch pipelines, balancing throughput, latency, correctness and cost. • Shape the architecture. Make decisions across backend services, data processing and analytics, and validate them against production behaviour. • Stay close to the customer problem. Work with Product, Research, Data Science and security teams to turn emerging needs into shipped capabilities. • Own what you ship. Investigate issues, improve performance and reliability, and keep raising the quality of the product. Our stack includes Java/Spring Boot, Kafka, Spark/Flink, ClickHouse/Athena and AWS. Who we're looking for You’ve built something substantial and stayed with it after launch. You can explain the decisions you made, the constraints you worked around and what changed once real users arrived. You’ve taken an unclear problem, worked out a practical approach and shipped a useful first version. You make progress without waiting for every detail to be specified, and you know which assumptions need testing before moving ahead. You want to remain hands-on across the product: writing backend code, building frontend flows and owning production outcomes. You follow a feature through to a usable customer experience, including work outside your strongest area. Your background might be a startup, a large-scale platform, a technology unit or research. Math, engineering and other non-CS paths are welcome. What you’ve built - and how you approached it - matters more than a perfect CV. Requirements • 5+ years of hands-on backend or software engineering, including production delivery. • Built and operated a data-intensive system, pipeline or analytics service. • Production experience with distributed systems and event-streaming infrastructure. • Shipped a user-facing feature end to end, with hands-on contributions to both backend and frontend implementation. • Can explain technical tradeoffs using concrete examples involving scale, reliability, performance or data correctness. • Can walk through a production issue you diagnosed and how you verified the fix. Advantages • Correlation, similarity or entity resolution: matching, identity graphs or near-duplicate detection. • Data or AI security: DLP, CASB, DSPM, insider risk or AI-security systems. • Spark plus ClickHouse/Athena: pipeline development and analytical performance. • Flink or systems processing billions of events per day. • AWS, privacy engineering or production ML capabilities. • Startup, founding-team or zero-to-one product experience. Why join Build at an early stage with the reach of an established security platform. You’ll influence the architecture, work through problems without a ready-made playbook and see your decisions tested by enterprise use. If you want your next role to include “built it from scratch” and “owned it in production,” we’d like to hear 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 highly motivated Support Enablement Engineer to join our amazing team. As a member of the Support Enablement team, you will play a critical role in enabling Support Engineers to execute all technical aspects of their job and will work to maximize the support organization’s effectiveness. Responsibilities • Advocate for support and customer needs with R&D and Product teams during feature development, as well as retroactively for existing technologies. • Identify and understand support inquiries and challenges, act as their technical focal point, and work to fill knowledge gaps. • Build troubleshooting practices to reduce ticket resolution time and maximize support performance. • Own and drive the delivery of technical content and knowledge-sharing initiatives to the global Support team. • Provide guidance on product features and how they work through the creation of technical content. • Design and create technical onboarding and everboarding training content. Requirements • At least 2 years of experience as a Tier 2–3 Support Engineer in a web, networking, or information security company, or equivalent experience as a Technical Account Manager or Pre-Sales Engineer. • Experience working with networking or security software solutions, with an emphasis on networking, TCP/IP, firewalls, and proxy servers – required. • Strong English communication skills, both verbal and written – required. • Excellent communication and presentation skills, with the ability to clearly articulate complex topics to different audiences in a concise, professional, and compelling manner. • Ability to provide constructive criticism and feedback, and use it to advocate for customer, partner, and support needs with different departments across the company. • Experience working in a Knowledge Management or Knowledge team, or proven experience creating technical guides and knowledge-base articles – an advantage. • Great troubleshooting abilities and a passion for diving into complex technical problems in real production environments. • Team player, responsible, and well-organized.

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. About the Role Cato Networks is 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, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. 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 – don’t miss it! We are looking for an experienced IT System Engineer to join our global IT team. In this role, you will take ownership of critical enterprise infrastructure across cloud, identity, networking, virtualization, and SaaS environments. You will work closely with Security, DevOps, Engineering, and IT teams to build secure, scalable, highly available infrastructure while driving automation and operational excellence. We are looking for someone who combines strong hands-on technical skills with a systems mindset — someone who can troubleshoot complex issues, automate repetitive work, improve existing architecture, and lead infrastructure initiatives from design through production. Key Responsibilities • Manage and improve cloud infrastructure, primarily in AWS, with exposure to Azure, GCP, and other cloud platforms. • Own identity and access management across cloud and SaaS environments, including Entra ID, SSO, IAM, RBAC, and user lifecycle processes. • Administer and troubleshoot Microsoft 365, VMware, networking, and other core enterprise infrastructure. • Automate operational and administrative tasks using Python, PowerShell, APIs, Infrastructure as Code, and AI-assisted tools. • Use AI effectively for scripting, troubleshooting, documentation, analysis, and improving IT operational workflows. • Manage enterprise endpoints and device compliance using Kandji and Microsoft Intune. • Troubleshoot complex infrastructure, cloud, identity, and connectivity issues and act as an escalation point for the IT team. • Partner with Security and Engineering teams to improve access controls, infrastructure security, monitoring, and compliance. • Proactively improve reliability, scalability, documentation, and operational processes. Requirements • 5+ years of hands-on experience in Systems Engineering, IT Infrastructure, or Cloud Infrastructure. • Strong experience with AWS and enterprise cloud environments. • Strong knowledge of Microsoft 365, Entra ID, IAM, SSO, and identity federation. • Strong scripting and automation skills using Python and/or PowerShell. • Strong practical experience using AI tools to accelerate scripting, troubleshooting, research, documentation, and IT automation, with an understanding of how to validate AI-generated output and use it securely. • Solid knowledge of networking fundamentals including DNS, DHCP, routing, VPNs, and firewalls. • Strong hands-on experience with MDM and endpoint management, including both Kandji and Microsoft Intune. • Hands-on experience with VMware vSphere/ESXi. • Experience with APIs and automation tools; Terraform experience is an advantage. • Strong troubleshooting skills and the ability to independently own complex technical issues. • Self-driven, hands-on, and comfortable working in a fast-paced global environment. Personal Attributes - Excellent interpersonal and communication skills. - Self-starter with strong troubleshooting and analytical skills. - Adaptable and thrives in a dynamic, rapidly changing environment. - Able to manage multiple priorities and work independently under pressure. Why Join Cato Networks? Be part of a transformative cloud-native company that’s reshaping secure networking. We’re scaling rapidly and offer a unique opportunity to work on cutting-edge technologies in a global, mission-driven environment.

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 Software Engineer to join the Research & Infrastructure team in our Security Research group. You'll build the systems behind Cato's security research and help turn that research into product capabilities. You'll work closely with researchers across the group to understand what they need, and you'll own each solution from requirements and architecture through implementation and delivery. Our team builds platforms for threat intelligence, malware hunting and attack analysis, along with scalable pipelines for processing large volumes of data. AI tools are part of how we design, build, test and research every day. Responsibilities • Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces. • Build threat intelligence, malware hunting and attack analysis platforms that support Cato's security operations and its Managed Threat Detection & Response (MDR) service. • Build tools that let researchers investigate threats, develop security content and create detection signatures. • Design the workflows and infrastructure that bring research outputs into Cato's customer-facing products. • Build scalable data processing and analysis solutions on the Cato Cloud data warehouse, automate protocol analysis, and integrate with internal and external services. Requirements • 3+ years of server-side development in Python. • 3+ years of web development with modern frameworks. • A strong grasp of software engineering fundamentals, including system architecture, code design and end-to-end development. • Proven ability to turn stakeholder needs into clear requirements and working technical solutions. • Experience with relational and NoSQL databases such as MongoDB, Elasticsearch, MySQL and Redis. • Ability to use AI tools effectively in daily engineering work and critically evaluate their output. • Strong ownership, initiative and organizational skills. • Excellent communication and collaboration skills, with fluent English. • BSc in Computer Science or a related field. Advantages • Experience with React. • Experience with big-data technologies such as Apache Spark. • Background in security or networking.

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 talented and a Senior Software Engineer to join the Cato Apps Team (AI) - the team building Cato's agentic harness and intelligent agent ecosystem, powering how customers interact with Cato's SASE platform, supporting and enabling all of Cato agentic solutions. This team is at the forefront of Cato's AI innovation, building AI-native systems and agentic harness that transform how IT and security teams operate, troubleshoot, and make decisions. In this role, you'll help shape and build the foundation of Cato's AI-powered management and support experience, directly impacting thousands of global customers by making Cato's platform smarter, faster, and easier to use by leveraging the power of AI. Responsibilities: • Design and develop Cato's Agentic Infrastructure, leveraging state-of-the-art technologies to build highly scalable, AI-native end-to-end services — from backend logic and service integration all the way to AI-first products such as Cato's AI Assistant. • Design build and deliver features covering all application layers, FE, BE, pesistance including responsibility on the deployment, and production monitoring of delivered features. • Collaborate closely with AI/ML engineers, product managers, and UX designers to define and deliver intelligent, conversational and none conversational AI powered capabilities. • Drive innovation and bring new ideas for AI-based automation, autonomous workflows, and insight generation across the platform. Requirements: • 7+ years of software-development experience, with strong Java fundamentals and experience building backend services and APIs. • Experience contributing to full-stack web applications, including Java backend services, React frontend development, and DB. • Familiarity with cloud-native development practices, including microservices, CI/CD, containerized deployments, and production monitoring. • Hands-on experience with AI-powered applications or LLM APIs, combined with a curious, collaborative mindset and eagerness to learn. Why join Cato: Cato Networks is the world's first SASE platform, connecting and securing enterprises with cloud-native simplicity. Joining Cato means working with passionate engineers who are reinventing enterprise networking and security - with AI at the core of the experience.

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. The mission is to protect how the world adopts and builds with AI - from the world’s biggest enterprises to fast-moving disruptors. We tackle hard, unsolved problems in AI, cloud, and data security - the kind that shape the next decade of technology. Our products already serve Fortune 500 customers and forward-thinking organizations worldwide, and we’re just getting started. We’re looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. You’ll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI. What you’ll do • Own and run major features and subsystems end-to-end — you’ll take ideas from concept to production and beyond (monitoring, iteration, refinement). • Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. You’ll be comfortable shifting between “how do we deploy this reliably” to “how does the user experience this”. • Drive team culture of ownership, craftsmanship, iteration and delivery: we’re not just about shipping features but owning the outcome, learning fast, and improving continuously. • Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking. What you bring • 5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others). • 3+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). • B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. • Proven experience leading major projects: you’ve owned significant codebases or systems, taken them from design to delivery, and driven them into production. • Fullstack mindset: you’re comfortable crossing infra/devops/backend/frontend boundaries; you look at problems end-to-end. 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. About the Job: • Support the entire Israeli payroll process including collecting, validating, and updating data in payroll systems in an accurate and timely manner. • Maintain a high degree of service and confidentiality • handling onboarding and terminations processes and paperwork. • Continuous updates of Hilan payroll system and employee’s database. • Act as a point of reference on payroll related questions and requests – in a professional and helpful manner. • Successfully maintaining internal and external work interfaces – HR, Finance and Admin teams, Insurance Companies, official authorities etc. Requirements: • Certified Payroll Controller and attendance in tutorials and seminars - must. • 2-3 years of experience in preparing/assisting payroll process. • Proficiency with payroll-related systems and software –MS Excel (must), Hilan (preferable). • Desire to learn and specialize in the fields of Israeli’s salary: personal income tax, labour laws and social benefits. • Ability to prioritize, multitask, meet deadlines, and collaborate effectively. • Excellent verbal and written skills in both English and Hebrew. • Excellent interpersonal and communications skills, Customer service oriented. • Strong personal ethics. • High level of accuracy, attention to detail and exceptional organizational skills. • Motivated, fast learner, and responsible.

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. At Cato Networks, we're rebuilding the network from the ground up as a secure, global cloud service. As the leader in SASE (Secure Access Service Edge), we are transforming how enterprises connect and secure their networks. We're looking for an experienced and technically skilled Product Manager to join our Network & Platform team, focusing on the Cato global backbone and platform. Position Overview You'll own the Cato backbone and platform strategy and roadmap, with the goal of a stable, resilient network that meets 99.999% availability. You'll be the focal point between Operations and Engineering. You'll define the capabilities that improve the network and drive them from priority to delivery. The role is mostly internal, with occasional work with customers and partners. Responsibilities • Own the Cato backbone and platform strategy and roadmap. • Define requirements for availability, redundancy, resiliency, and failure handling together with Operations and Engineering. • Set priorities, build the plan with both teams, and follow it through delivery. • Drive platform decisions on cloud deployments, fabric/interconnect providers, and traffic engineering. • Work with customers and partners on backbone-related needs as required. Requirements • Strong technical background in network design and architecture, with experience operating large-scale, global platforms. • Deep understanding of network availability and redundancy: failure domains, failover, capacity planning, and designing for five-nines. • 5+ years in product management or network operations in cloud or networking environments. • Knowledge of cloud platform deployments, fabric providers, Service Provider networks, and traffic engineering. • Strong cross-functional skills: you can align Ops and Engineering and drive execution without direct authority. Advantages • Background in network operations (NetOps/NOC).