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Required Field System QA
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.
Our ideal candidate is a proactive learner with excellent problem-solving skills and a strong desire to work hands-on with system testing and verification.
While no prior professional experience is necessary, a natural curiosity for how systems work and an enthusiasm for tackling challenges in diverse, outdoor settings are highly valued.
This role is highly hands-on and field-oriented, with the majority of time spent conducting outdoor system tests in real-world environments. You will be actively involved in end-to-end validation of complex hardware and software systems, troubleshooting issues on-site, and working closely with multidisciplinary teams to ensure optimal performance.
The position requires adaptability, independence, and a proactive approach, as you will operate in dynamic, fast-changing conditions and take ownership of testing activities from execution through reporting.
What will your job look like?
Verifying system features and functionality
Outdoor system performance tests.
Working in a young, dynamic & demanding environment on cutting edge technology.
Conduct end-to-end testing of integrated hardware and software components, ensuring seamless operation.
Provide detailed bug reports, logs, and reproducible steps for issues found in the field.
Generate regular reports on field QA activities, system performance trends, and key findings.

We are looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects.


What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are looking for best-in-class Chip Design Engineers 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 significant part in designing our groundbreaking and innovative chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What you will be doing:

Join the Tel Aviv or Beer-Sheva group, working on RiscV processors platform.

Verification for chip blocks according to specifications under challenging constraints and with high orientation to power, area and performance.

Daily work might involve any or all aspects of chip development including verification, integration, debug

Work closely with firmware and other groups around the globe.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll 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 youll do
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll 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: were 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.

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: You will take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. You will champion a 'You Build It, You Run It' culture, ensuring the high availability and observability of our multi-tenant SaaS environment.
Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry.
Full-Stack Delivery: Seamlessly transition to front-end development (React) when required, ensuring the backend infrastructure connects smoothly to a streamlined and user-friendly web client.

we are 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 our companys 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 our companys 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 our company.

Required Senior Embedded Vulnerability Researcher
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.
Scope:
Our mission is to defend and mitigate the danger from rogue drones.
We are looking to expand our drone take-over research team, which is responsible for the core technology of our product.
This is a great opportunity for you to expand your capabilities working on versatile and innovative cyber research projects as part of a young and extremely talented team.

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 looking for a Hands-On Team Lead - Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization.
This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions.
The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

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 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.

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.