לוח משרות דרושים הייטק תוכנה בשרון

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, aour company nd stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

we are seeking a highly skilled AI Product Intelligence Lead to modernize and elevate the Product Management function by building an AI-driven product knowledge platform. This role focuses on aggregating and unifying organizational data (engineering, product, competitive, customer) into a structured data lake, and developing an internal AI assistant that empowers the Product organization with real-time insights, competitive analysis, roadmap support, and decision-making acceleration.
This position sits at the intersection of AI, data engineering, product strategy, and organizational knowledge management. You will function as the AI engine behind our company Product Management - turning scattered information into structured intelligence and building the tooling that allows PMs to think faster, act smarter, and execute at scale.
Key Responsibilities
1. Build the company Product Data Lake
Ingest and normalize data from internal systems including:
Git / GitHub / GitLab (code evolution, releases, components, architecture)
Jira (epics, features, sprint data, backlog health, execution trends)
Confluence (specs, design docs, product decisions, reviews)
Connect and harvest relevant external data:
Competitor websites and public documentation
Analyst reports, industry standards, RFCs
Media, blogs, financial/market data, community repos
Establish pipelines for continuous ingestion, cleaning, tagging, and semantic indexing.
Define and enforce taxonomies, metadata schemas, and embedding strategies for structured and unstructured product information.
2. Build an AI Assistant for the Product Management Function
Design and maintain a secure, internal our company PM chatbot capable of:
Understanding our company architecture, products, roadmaps, modules, and features
Generating roadmap proposals based on business goals, competitive gaps, and engineering capacity
Providing competitive analysis, feature comparisons, and market positioning
Summarizing design docs, Jira epics, technical specs, PRDs, RFCs, and Confluence pages
Acting as an AI peer/consultant for PMs: drafting PRDs, feature breakdowns, risks, GTM summaries, and opportunity reports
Implement multi-source retrieval (RAG), long-context reasoning, and fine-tuning strategies where applicable.
Collaborate with Engineering to ensure data security, access control, and compliance.
3. AI-Driven Product Intelligence & Competitive Strategy
Automatically identify gaps vs. competitors and recommend differentiators.
Use AI to synthesize market intelligence and propose strategic moves.
Build dashboards for product, competitive, and risk insights.
Create automated alerts for competitor releases, standards changes, and relevant industry updates.
4. Cross-Functional Collaboration
Work closely with Product Managers, R&D, Architecture, CTO Office, Sales Engineering, and Leadership.
Translate business goals into AI capabilities and intelligence-driven tooling.
Train PMs on using AI tools effectively and integrate AI into their daily workflows.

As a Platform QA Engineer, you'll play a crucial role in ensuring the performance, reliability, and scalability of our workflow engine infrastructure. You'll focus on validating environments, functionality, authentication systems, and ensuring proper coverage for our microservices architecture. You'll work closely with development teams to validate that our platform components meet design specifications and performance requirements.
Key Responsibilities:
Design and execute plans for REST/gRPC APIs and workflow engine functionality
Validate authentication and authorization flows across microservices
dynamic task addition and execution in the workflow engine
Implement automated suites for contract validation
Verify proper service communication in environments
Perform integration testing between workflow components and services
Create comprehensive coverage for critical platform functionality
Collaborate with developers to improve testability of platform services
Identify, document, and track issues, validate they're resolved on time.

we are a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, our company created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the networks economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&Ts network traffic now runs through a disaggregated core powered by our company software. our company Network Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI networking solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, our company continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey.
Key Responsibilities
Own the end-to-end product lifecycle-from market analysis and requirements definition to feature delivery and adoption.
Define and refine product vision, roadmap, and KPIs for network and infrastructure-centric solutions.
Collaborate closely with engineering teams to design scalable, resilient architectures and ensure timely execution.
Lead discovery with customers, partners, and internal stakeholders to identify needs in ISP, carrier, and enterprise environments.
Translate networking and security requirements into clear product specifications and user stories.
Evaluate competitive offerings, industry trends, and emerging technologies in routing, infrastructure, and security.
Work with security teams to integrate and enhance security capabilities, address vulnerabilities, and ensure industry-standard protections.
Drive cross-functional alignment with sales, marketing, support, and operations to ensure product success.
Support customer engagements and represent the product in technical discussions, roadmap reviews, and strategic planning.

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.
Key Responsibilities:
Conduct in-depth hands-on product demonstrations and sales presentations
Lead technical responses to customer requirements, including RFIs, RFPs, solution descriptions, presentations, site surveys, training, and event support
Provide field feedback to help shape product development
Proactively shape the sales cycle, strengthen customer relationships, and contribute directly to achieving sales targets.

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.
Responsibilities:
Design and implement sophisticated digital signal processing algorithms for applications in areas such as signal processing and wireless communication physical layer.
Collaboration with a multi-disciplinary teams (algorithm engineers, systems engineers, SW engineers, etc.) to design and integrate challenging DSP algorithms for wireless systems.
Enforce high standards for software architecture, ensuring the DSP codebase is scalable, modular, testable, and maintainable.
Conduct thorough performance analysis and optimization of existing DSP systems, identifying opportunities for improvement.
Write clean, efficient, and maintainable code for production systems.
A proactive approach to innovation and a passion for developing high-quality products.

We are building a large-scale backend platform for orchestrating and managing critical infrastructure state at massive scale.
As a backend engineer, you'll help design and develop high-concurrency, race-free backend services using Go (Golang), ensuring strong consistency, reliability, and performance.
You will:
Build highly concurrent backend services capable of safely handling tens of thousands of parallel operations.
Design and implement scalable APIs (REST, WebSocket, or gRPC).
Ensure consistent state management for critical infrastructure data.
Optimize system performance, reliability, and observability.
Write production-grade, maintainable, and well-tested code.
Collaborate with frontend engineers, architects, and product managers.
While initial development is focused on Go, future projects may involve other languages or stacks.
We're looking for engineers who are either experienced in Go or highly motivated to master it, and who are comfortable adapting to different technologies as needed.
Key Responsibilities
Design, develop, and maintain high-concurrency, race-free backend services using Go (Golang).
Implement scalable APIs for resource operations (REST, WebSocket, gRPC).
Ensure system consistency, performance, and reliability under high load.
Write clean, production-quality code with proper testing and observability.
Participate in system design reviews, code reviews, and team knowledge sharing.
Work closely with product managers, architects, and frontend developers.
Troubleshoot and maintain backend systems to meet SLA and performance targets.

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing 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:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

As part of System Architecture group, the Cybersecurity System Architect will define the end-to-end architecture of advanced network security services, such as intrusion prevention systems (IPS), and host-based intrusion detection systems (HIDS) and firewalling. This role is at the forefront of integrating deep security intelligence into high-performance, scalable network operating systems and telecom-grade platforms.
As part of R&D core function, shaping next-generation secure network infrastructure by embedding deep packet inspection, behavioral analytics, and threat mitigation into the product architecture.
Responsibilities
1. Architecture of Integrated Security Services
Define and lead the system architecture for L3-L7 firewalling, stateful inspection, policy enforcement, and application-aware filtering.
Architect integration of IPS, DPI, signature- and anomaly-based detection, and evasion-resilient detection engines into control and data plane systems.
Specify how HIDS capabilities will be embedded or interfaced with NOS components for detecting host-based anomalies and compromise indicators.
2. Threat Detection & Prevention Frameworks
Design scalable architectures that support high-speed signature matching, traffic heuristics, and flow analysis under real-world traffic conditions.
Define mechanisms for rule updates, threat intelligence feeds, and integration of ML-based detection algorithms.
Architect policy engines for complex rule matching, including user-defined policy trees and hierarchical control structures.
3. Secure System Integration
Lead system-level threat modeling and security design reviews across platform, OS, and networking protocol layers.
Define secure communication paths, trust boundaries, and cryptographic protections for sensitive metadata, logs, and update mechanisms.
Ensure proper isolation and sandboxing of inspection/control modules, especially in multi-tenant or containerized environments.
4. Performance and Resilience Considerations
Design architectures to meet line-rate security enforcement, ensuring minimal latency overhead while preserving packet integrity.
Align with the HW Architecture for performance optimized flow offload strategies (e.g. hardware-assisted DPI).

The Role
As part of System Architecture group, we are looking for an experienced System Architect to lead system and architecture for a network operating system of a hyper scale router & working as part of a technical team in charge of all system, software, algorithms and protocols design, Continues and constant customer engagement at the requirements, product and design levels.
Responsibilities
Collaborate closely with cross-functional teams including software engineers, network engineers, and product managers to define system requirements and design solutions.
Perform spec reviews and provide guidance to team members in design reviews
Develop and implement high-level design methodologies and standards to optimize system architecture.
Drive architectural initiatives that improve system resilience, security, and efficiency.

We are seeking a highly skilled and motivated Team Leader - Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contribution-mentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

Were looking for a talented and motivated Platform Software Engineer with strong design, coding, and debugging skills - and the passion to lead and mentor others.
In this role, youll take part in developing core components of our large-scale, distributed data-path system - from high-level features to low-level implementation close to the hardware.
What youll do:
Design and develop platform features, including both front-end and back-end aspects.
Work closely with the hardware layer (e.g., BSP, I2C, IPMI).
Drive complex projects from design to production.
Collaborate with multiple teams across disciplines.
Lead by example - mentor team members and contribute to a culture of technical excellence.

we are looking for a Senior Full Stack Engineer.
As a Senior Full Stack Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones.
Your primary responsibility will be to successfully implement high quality and efficient FE and BE software tasks, and continuously develop new features and capabilities for our up-to-date response to new drones, while collaborating with our sensor logic engineers.
This includes coding/understanding our node and react codebases, which serve a plethora of products. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team

we are looking for a Senior Python Engineer.
As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones.
Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers.
This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

We are looking for a talented communication PHY algorithms engineer to join our
growing, highly motivated, and skilled modem research team, to lead and participate in
research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.
Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Guide and support the FW, DSP and FPGA teams for concept implementation and debug.
Analysis and debug of PHY algorithms behavior and performance improvements.