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This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

We are looking for a driven, customer-facing Presales Systems Engineer to support our growing our Networking business in Israel. This is an exciting opportunity for a networking professional who enjoys combining technical expertise, business insight, and strong communication & presentation skills to help customers solve real-world challenges.

In this role, you will partner with sales teams, channel partners, and customers to design, position, and demonstrate modern networking solutions across the Networking portfolio, including technologies from Aruba and Juniper Networks.

This is an ideal opportunity for someone who wants to be close to customers, stay hands-on with technology, and accelerate their career in one of the most dynamic areas of IT: AI-driven networking, wireless, switching, security, and cloud-managed infrastructure.

What Youll Do:
Partner with account managers and channel partners to identify customer needs and align technical solutions to business outcomes.
Support opportunities across Israel, as a trusted advisor.
Design and position end-to-end networking solutions across campus, branch, data center, wireless, switching, network access control, security, and cloud-managed networking.
Deliver engaging customer presentations, technical workshops, whiteboarding sessions, demonstrations, and discovery conversations in both Hebrew and English.
Support proof-of-concept (POC) to validate solution fit and business value.
Design architectures, bill of materials, and proposals aligned to customer requirements.
Respond to technical portions of customer requests including RFIs, RFPs, and RFQs.
Articulate our Networking differentiation clearly against competitors.
Help grow pipeline by identifying expansion, upsell, and cross-sell opportunities within existing and prospective accounts.
Maintain strong relationships with customers, IT teams, and decision-makers.
Support customer and partner enablement activities including training, demos, and technical guidance.
Continuously build expertise across the combined Networking portfolio and stay current on market trends, competitive moves, and emerging technologies.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

The world leader in Counter Unmanned Aerial Vehicles, (c-UAVs)/Counter Drone Technologies is seeking an experienced pre-sales engineer to join our growing Team. The pre-sales engineer will support the sales team and sales operations to drive sales opportunities, demonstrate our product, train our customers and sales team, provide technical assistance, and assist in achieving our sales goals.
Scope:
As a subject matter expert on our offerings, products, the pre-sale engineer will assist sales managers in qualifying customers technical requirements, demonstrating the technical and operational features of the product line, and answer all questions related to our products to the satisfaction of the customer. The pre-sale engineer will ensure proper handover of information to the Professional Services Team to prepare them for client engagements and project implementation by sharing knowledge gained about the customer environment, systems, and risk profile. The pre-sale engineer will also carry lessons learned from their activities and present these to the relevant product teams to supply input for the strategic direction of the product line.
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.

We are looking for an experienced system engineer to participate and lead the development of a radio-based drone detection and mitigation system as part of the company products.
Responsibilities:
Lead features and platforms from ideas to releases.
Guide and participate in the research and analysis of both proprietary and standard radio communication
protocols.
Develop and optimize algorithms for scanning, signal separation, antenna selection, etc.
Define requirements and guide other multi-disciplinary teams (SW, Modem algorithms, DSP, and FPGA) through
implementation and debugging.
Analyze and define complex system behaviors, state machines, algorithms, and event-response logic, including
radio link budget considerations.
Perform independent, hands-on debugging and optimization for system problem-solving using tools like
MATLAB, Python, Excel, and other log analysis software.
Gain a deep understanding of the full system to guide and support development, testing and validation teams.

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.

Required Senior Verification Engineer (FPGA)
Our people are our greatest strength - and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones - with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. Were proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
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.
Lead the functional sign-off for complex FPGA designs by architecting scalable, reusable UVM-based verification environments.
You will build the essential infrastructure that empowers FPGA designers to efficiently and accurately verify their own modules.
Key Responsibilities:
Architecture: Build and maintain advanced simulation environments from scratch using UVM and SystemVerilog.
Strategy & Coverage: Develop comprehensive verification plans to drive the team toward 100% functional and code coverage closure.
CI/CD & Automation: Architect robust automated regression testing environments and integrate them into CI/CD pipelines (e.g., Jenkins).
Tool Expertise: Serve as the internal authority for EDA tools (like Questa) and manage high-performance simulations.
Debugging: Perform deep root-cause analysis on complex failing tests and hardware logic.

We are looking for a Mechanical Team Lead who combines strong hands-on mechanical engineering expertise with leadership and people-management capabilities.
The role includes full responsibility for the mechanical domain, both from a technical and managerial perspective, throughout the entire product lifecycle - from concept and detailed design through production, assembly, and delivery.
You will oversee all mechanical aspects of the product while working closely with hardware, production, operations, and product teams.
In addition, you will be responsible for leading and mentoring a team of mechanical engineers, prioritizing tasks, ensuring design quality, and meeting project milestones.
The Team Lead will lead complex mechanical designs, including:
Design from scratch alongside retrofitting and improving existing designs
Complex thermal management
Withstanding dynamic profiles (mainly vehicle-related)
Protection against EMI/EMC
Design for sealing
Professional leadership and mentoring of the mechanical team
Task planning, prioritization, and workload management
Improving design methodologies, processes, and best practices
Participating in hiring, onboarding, and training of new team members

Required Antenna System and RF Engineer
Overview:
Antenna system and RF engineer that will primarily lead antenna system design, testing and system verification from concept to production.
The position is part of the RF R&D team and will require in addition RF board design and testing.
Responsibilities will range from initial concept stage up to production including concept verifications, guiding mechanical design, final product approval including outdoor testing and transfer to production.
The designs require multi discipline knowledge in antennas, antenna arrays, mechanics, RF and system considerations
The job requires collaboration with the system, electrical, mechanical, software, manufacturing, and system test engineers to ensure successful product design and transition to production.

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 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 a motivated Junior Production Planner to join our Operations team as a temporary position for 6 months (that may become a permanent position in the future). In this role, you will play a key part in our manufacturing process, responsible for issuing work orders, monitoring production execution, and ensuring that our complex hardware portfolio is delivered on time and to the highest standards.
Key Responsibilities:
Work Order Issuance: Generate and release Work Orders (WOs) to the production floor based on the production plan.
Production Monitoring: Closely monitor the manufacturing process to ensure WOs are completed on time and according to specifications.
Execution Follow-up: Track daily production output and address any delays or bottlenecks in the process.
Data Integrity: Update the ERP system (NetSuite) in real-time to reflect the status of Work Orders, material consumption, and finished goods.
Internal Coordination: Work closely with Production Managers and Warehouse teams to ensure a seamless flow of materials to the production lines.

Required Hardware Debug Technician/Engineer
Role responsibilities:
Final tests technician (Hands-on) in Production line
Manage HW testing in production, Line setup, Calibration and Maintenance
Deep HW knowledge in RF & Digital
Functional testing of electronic circuits according to specifications.
Overall responsibility for debug & analysis in boards & System level
Responsibility repair, analysis and documentation
ATE stations technical support.

We are seeking a Lead Software Engineer to join the AI Workspace team at Tricentis. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
What You'll Do:
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions

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/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and 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 looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.