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We are looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the tools that shape the future of Chip Design and Verification. This role is at the intersection of software engineering and hardware design. Youll work on the software that accelerates the development of our industry-leading networking chips - highway for the AI revolution.

We're looking for someone who combines strong coding skills with preferably a solid understanding of chip design or verification. If youre excited about solving technical bottlenecks, building scalable tools, and collaborating with designers and verification experts, youll feel right at home here.

What youll be doing:

Develop software tools for our chip design and verification flows

Collaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality.

Own your solutions end-to-end - from idea to delivery to support.

we are building the future of AI Security - a platform that enables organizations to adopt AI boldly while keeping it governed, observable, and secure.
Were looking for a hands-on Software Engineering Team Lead to own our AI Security product for coding agents - from Claude Code, Codex, and GitHub Copilot to cloud-native coding environments and fully autonomous development agents.
This is a high-impact, product-driven leadership role at the intersection of AI, developer experience, cloud infrastructure, and enterprise security. Youll lead a full-stack team that owns this domain end-to-end: from infrastructure and policy engines to delightful product experiences that engineering teams actually love using.
What Youll Do
Lead and grow a full-stack engineering team dedicated to securing AI coding agents and autonomous development workflows.
Own the entire product area - strategy, architecture, roadmap execution, quality, customer adoption, and continuous iteration.
Design and build production-grade capabilities spanning AWS & Kubernetes infrastructure, backend services, real-time policy & enforcement engines, rich APIs/integrations, and intuitive UI/UX.
Partner closely with Product, Design, Sales Engineering, and customers to stay ahead of emerging AI risks and developer needs.
Set a high bar for engineering quality, ownership mindset, fast delivery, and product thinking across the team.
Help shape how the industry solves one of the biggest challenges of our time: letting AI agents move at incredible speed without compromising security or governance.

We are seeking a Senior RF Systems & Design Engineer to join our RF team and help architect and industrialize our next-generation Counter-UAS (C-UAS) multi-product hardware ecosystem. In this role, you will bridge the gap between high-level Software-Defined Radio (SDR) concepts and high-yield mass production. You will guide modular architectural layouts, define core interfaces for internal and external sensors, implement critical DFx methodologies, and mentor junior talent within an evolving, fast-paced technical landscape
Key Responsibilities
1. Architecture & System-Level Design:
Architect modular, RF transceiver systems and define cascading link budgets (NF, Gain, IP3, P1dB) from antenna to converter.
Design advanced wideband SDR front-ends and direct RF sampling topologies tailored to defeat dynamic threats.
Establish Interface Control Documents (ICDs) and hardware abstraction standards to seamlessly integrate 3rd-party subsystems (Radar, EO/RF).
2. Detailed HW Design, Simulation & Validation:
Lead schematic capture, high-frequency/high-density PCB layout supervision, and component choices (PAs, LNAs, synthesis filters).
Perform electromagnetic and circuit-level modeling (ADS, HFSS, or equivalent) to resolve structural EMI/EMC and co-site isolation issues.
Formulate strict engineering Verification & Validation (V&V) plans, overseeing environmental and compliance certifications.
3. DFx & Production Scale-Up:
Champion Design for Manufacturing/Assembly/Test (DFM/DFA/DFT) workflows to ensure stable, repeatable high-yield production loops.
Define line-calibration algorithms, built-in self-tests (BIST), and leverage Statistical Process Control (SPC) data to reduce production and field escalations.
4. Leadership & Mentorship:
Collaborate across disciplines (Mechanical, Digital, Cyber-Software) to systematically resolve thermal, power, and high-speed noise friction points.
Act as a primary technical mentor for junior engineers, implementing standard product lifecycle (PLC) gating and best practices.

We are looking for a Formal Verification Engineer for our NVIDIA Networking team!

This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking Switch technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies. Our Switch team delivers world class Bridge and router solutions for HPC, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. We have the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tapeouts. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.

What you'll be doing:

In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.

You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of our core technology.

Now were looking for a visionary Automation Engineer to join our Automation teams. As a member of this team, you will be responsible for the design, implementation, and maintenance of Automated tests. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, Users authentication scenarios and mobile applications interacting deeply with the operating system.
Responsibilities
Design and develop automation solutions for mobile applications, including end-to-end scenarios across backend, network, and device layers
Build, configure, and maintain mobile testing environments (emulators, simulators, and physical devices), including CI-integrated mobile labs
Develop automation for applications that integrate with mobile OS capabilities (e.g., VPN configuration, system extensions, network controls, background services)
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Cope with complex code along with quality standards and best practices.
You will be expected to come up with initiatives regarding Automation infrastructure and tools.
You will work with other Automation teams, as part of cross-teams Automation efforts to achieve code reuse and unified standards in code, tools, and processes.
Collaborate with development and product teams to ensure high-quality delivery of mobile and networking features.

Were looking for a visionary Automation Engineer - Browser Security to join our Automation teams. As a member of this team, you will be responsible for the design, implementation, and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, Users authentication scenarios and Browser Security.
Responsibilities:
Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework
Build end-to-end automation scenarios covering backend, networking, and client-side behaviors
Design and implement automation solutions for browser-based security products, including - Browser security solutions (e.g., authentication flows, extensions, enterprise browsers, RBI)
Define, build, and maintain automation infrastructure, frameworks, and reusable libraries
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Set up and manage test environments, including - Browser and web testing environments
Drive automation coverage by designing regression, sanity, and end-to-end test suites
Own and drive product quality by validating features, reviewing behavior, and ensuring adherence to QA best practices
Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability
Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards
Take part in (or lead) cross-team initiatives to improve automation infrastructure, code reuse, and testing methodologies.

We are looking for a highly skilled RF Test Automation Developer to join our R&D Integration Automation team.
This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools.
The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle.
Knowledge of RF systems is a strong plus.
Key Responsibilities:
Develop and maintain automated RF test development tools using Python and other relevant programming languages.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze test results, generate comprehensive reports, and present findings to cross-functional teams.
Collaborate with hardware and software engineers to integrate automated RF testing into the product development cycle.
Stay current with emerging RF technologies and testing methodologies, proposing and implementing improvements to existing test processes.
Contribute to the development of RF testing strategies aligned with R&D goals and product roadmaps.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through our companys SASE platform, powering core products such as our AI assitant, DLP, XDR, IPS, and more.
Leveraging rich, real-time data from our global backbone and Cloud data warehouse, you will apply advanced reserach analytics, machine learning, deep learning and GenAI techniques to solve complex cybersecurity and networking challenges.
This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.
Key Responsibilities
Lead the design, development, and deployment of AI/ML models that enhance our companys security and networking products
Leading networking and security research, including analysis of large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources
Collaborate cross-functionally with product, engineering, and support teams to translate product and business needs into AI solutions
Define and track success metrics to ensure AI solutions meet performance and business goals.

we thrive The Tier 2 Technician serves as a senior Technical Support resource responsible for handling complex customer and internal support cases escalated from Tier 1. This role requires strong technical troubleshooting capabilities, cross-functional collaboration, ownership of critical incidents, and a commitment to delivering high-quality resolutions while maintaining excellent Customer Experience. Key Responsibilities Advanced Technical Support & Troubleshooting - Investigate, diagnose, and resolve complex software, hardware, system, and integration issues escalated from Tier 1 support, including log analysis and root cause identification. Escalation & Critical Incident Management - Own high-priority and critical support cases, ensuring SLA compliance while coordinating resolution efforts across Product, R&D, Engineering, QA, Operations, and Customer Success teams. Incident Investigation & Root Cause Analysis (RCA) - Lead incident and problem management activities, document findings, implement corrective and preventive actions, and drive long-term solutions for recurring issues. Issue Reproduction & Solution Validation - Reproduce customer-reported issues, validate fixes, and ensure solutions effectively resolve identified problems. Knowledge Management & Team Enablement - Create and maintain technical documentation, troubleshooting guides, and knowledge base articles, while mentoring Tier 1 support teams and sharing technical best practices. Continuous Improvement & Support Readiness - Analyze support trends, identify operational improvement opportunities, participate in product release validation, and recommend enhancements to support processes, tools, and workflows.
Country:
Israel
City:
Herzliya

We are seeking a highly skilled Senior Communication PHY Algorithms Engineer.
This senior role is focused on the end-to-end research, design, and implementation of digital receivers for proprietary drone communication signals.
Responsibilities:
Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity.
Develop and maintain simulations using MATLAB and Python.
Design digital receiver modules to be implemented either by FPGA of SW.
Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer.
Accompany the integration process of the feature until its end-to-end operation.

We are seeking an experienced Network Engineer to join our Network & Cloud Operations team. This role is responsible for investigating complex network and service issues, implementing and improving monitoring solutions, leading technical escalations, contributing to RCAs, and building workflows that streamline investigation processes for lower NOC and Support tiers.
As part of the Network & Cloud Operations team, the engineer will play a key role in ensuring the performance, reliability, and scalability of our companys network services. The role requires close collaboration with Engineering throughout the lifecycle of new versions and network features, from design review and operational readiness to production rollout, validation, and continuous improvement. This includes providing operational feedback on new network capabilities, helping define production requirements, and ensuring smooth adoption of new technologies across our companys global network.
Key Responsibilities:
Implement and improve network monitoring and alerting systems to proactively detect service-impacting issues.
Lead escalations of critical network and service incidents, coordinating with Engineering, Support, Security, and Operations teams.
Investigate and resolve complex network issues beyond standard NOC and Support tiers.
Contribute to RCAs by providing technical analysis, impact assessment, mitigation actions, and prevention recommendations.
Work closely with Engineering on new versions, features, and network capabilities, including design feedback, production readiness, rollout validation, and post-release monitoring.
Participate in CHNG management processes, service-component deployments, release pipelines, and production rollouts.
Create runbooks, workflows, and investigation procedures to improve troubleshooting efficiency across NOC team.
Identify recurring issues and operational gaps to drive improvements in network stability, monitoring, alerting, and automation.

We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, which enables our products to meet the industry-leading benchmarks of efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards.

We are looking for an ideal candidate who will be actively involved in testing industry-leading features in the FW sector, able to rapidly acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems.

What you'll be doing:

Review arch design and requirements documents for new features introduced in several domains like HCA, Data Center GPU Platforms, Switch

Design, develop, and perform tests for the new features, as part of FW GA or update releases.

Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework.

Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.

Conduct tests in various areas, including regression, performance, functional, and security. Keep track of testing progress and generate summary reports of testing activities.

Fully collaborate with different external teams like : :product marketing, R&D, and verification.

Define and build setups topologies for appropriate product coverage.

Required ML-Engineering Lead
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.

We are looking for an experienced Automation Infrastructure Engineer to join our Automation engineering group. In your role, you will be working closely with development teams, Automation teams, DevOps, Product, and others. You will participate in the effort to improve the companys ability to deliver value to customers in high velocity and excellent quality.
Responsibilities:
You will be responsible to plan, design, implement, and maintain Automation tests and infrastructure.
Cope with complex code along with quality standards and best practices.
You will be expected to come up with initiatives regarding Automation infrastructure and tools.
You will work with other Automation teams, as part of cross-teams Automation efforts to achieve code reuse and unified standards in code, tools, and processes.
You will take part in planning and implementing non-functional testing aspects of product management modules.

Were looking for an experienced Software Team Lead to join the Cato team. In this critical role, you will lead an excellent team of experienced engineers and solve architectural and engineering challenges. You will be building highly scalable solutions, providing infrastructure and value to a new asset management product.
Responsibilities:
Lead and develop a new SaaS product from scratch to production, and participate in defining the specifications, architecture, and other tech-related areas of the project.
Build an excellent team - through recruitment, mentoring, and day-to-day management
End to End development from the processing of large-scale data to web interfaces
Working closely with multiple stack holders - product management, research, SOC and NOC services, and automation teams
Designing and Implementing enterprise platform solutions
Researching new technologies and adapting them for use within the companys product
Collaborating with multiple development teams.