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Requirements:
B.Sc/M.Sc degree in Electrical Engineering or Computer Science from a recognized university.
A minimum of 5 years of experience in radio-based systems, with at least 2 years in a role such as a communication systems engineer, communication algorithms engineer, RF system engineer or a firmware
engineer focused on system-level issues.
Hands-on experience in research and development of communication protocols, such as Matlab signal analysis,
operating RF test equipment and analyzing system LOGs.
Hands-on experience in a scripting language, like Python, JavaScript or MATLAB.
Deep understanding of multidisciplinary communication systems.
Team player with excellent communication skills, ability to lead tasks within the company and the desire to take
on diverse challenges.
Advantage: Knowledge in common wireless protocols. Experience with cyber-based systems.

Requirements:
Key Qualifications:
At least BSc in EE/Communication from a known university, specializing in communications or digital signal processing. MSc/PhD is an advantage.
1-3 years of experience in algorithms research and design of high-speed modems or radio-based products.
Candidates which are outstanding MSc/PhD graduates will be considered.
Deep understanding of digital signal processing, RF fundamentals and communications theory - mandatory.
Experience with Python (Numpy/Pytorch), MATLAB.
Independent, self-motivated, and multitasking.
Ability to work in a fast-paced environment.

Preferred:
Hands-on experience with RF lab equipment including spectrum analyzers, oscilloscopes, vector signal generators, network analyzer, power meters, etc.
Basic understanding of wireless standards such as LTE, Wi-Fi, Bluetooth.

Requirements:
B.Sc. in Computer Science from a leading university OR Alumnus of an elite military technology unit - MUST.
At least 5 years of hands-on backend software development experience, primarily in Node.js - A MUST.
Deep knowledge of the JS event loop and asynchronous programming. - A MUST.
Practical experience with frontend development (e.g., React) and a strong willingness to contribute to client-side development when necessary to deliver end-to-end features - A MUST.
At least 5 years with Cloud Computing across at least one of the big three providers (AWS, Azure, GCP), with a focus on Cloud-Native services. This includes expertise in serverless computing, managed container orchestration (EKS/AKS/GKE), and auto-scaling strategies beyond basic IaaS/VM management - A MUST.
Proven experience designing scalable services using Microservices Architecture and related patterns (e.g., Service Mesh, API Gateway, BFF).
Strong understanding of Event-Driven Design (e.g., high-throughput message brokers like Kafka, RabbitMQ, SQS) and Domain Driven Design (DDD) principles.
Experience with high-speed in-memory state management (e.g., Redis) and relational data stores (e.g., PostgreSQL).
Hands-on experience with containerization technologies, specifically Docker and basic Kubernetes usage.
Deep understanding of Infrastructure as Code (IaC) principles. Proven experience managing cloud infrastructure programmatically using tools like Terraform, AWS CDK, or Pulumi (we treat infrastructure as software) - A Big Advantage.
Deep expertise in designing highly secure, multi-tenant SaaS solutions, ideally with knowledge of Zero Trust Architecture (ZTA), mTLS, and secure edge-to-cloud communications.
Strong understanding of CI/CD concepts and automation tools.
Team player, with strong communication, collaboration, and active listening.
Agile/Scrum environment expertise.

Experience designing data pipelines for high-volume time-series telemetry and implementing long-term, cost-optimized data retention strategies (e.g., Object storage tiering).
Experience with Geospatial processing (GIS), mapping technologies (Map tile services, GeoJSON, OGC standards), and implementing spatial rules/geo-fencing.
Advanced Kubernetes experience (Operators, CRDs, Helm) for complex deployment scenarios.

Requirements:
Requirements:
At least 5 years of hands-on software development experience in Python - A MUST.
Deep knowledge of Object-Oriented (OO) programming - A MUST.
B.Sc. in Computer Science or Engineering, or relevant military courses and experience.
Team player, with strong communication, collaboration, active listening, and problem-solving skills.
Proven experience developing real-time stream processing solutions
Agile/Scrum environment expertise.

Advantages:
Proven experience in C++ development.
Strong understanding of CI/CD concepts, including automation concepts.
Multi-process/threaded application knowledge.
Extensive startup experience.
Knowledge of Networking and Operating Systems fundamentals.

Requirements:
Requirements:
At least 5 years of hands-on software development experience in Node - A MUST.
At least 5 years of hands-on software development experience in React - A MUST.
Deep knowledge of JS event loop - A MUST.
B.Sc. in Computer Science or Engineering, or relevant military courses and experience.
Team player, with strong communication, collaboration, active listening.
Agile/Scrum environment expertise.

Advantages:
Python 3.6 and above experience.
Experience enriching and optimizing development using dev-assisting genAI tools (such as Cursor, CoPilot or ClaudeCode).
Strong understanding of CI/CD concepts, including automation concepts
Multi-process/threaded application knowledge.
Extensive startup experience.
Knowledge of Networking and Operating Systems (Linux) fundamentals.

Requirements:
Requirements:
5+ years of hands-on experience as a DevOps engineer or similar role.
Proven experience designing, implementing and maintaining cloud based production environments in leading cloud providers such as AWS, GCP and Azure.
Strong proficiency in Python for scripting and automation.
Significant experience with IaC tools such as Terraform.
Strong expertise in CI/CD processes, including hands-on experience.
Familiarity with containers and microservice architecture.
Advanced Linux administration skills, including networking, storage, and troubleshooting expertise.
Outstanding team player, with strong communication, collaboration, active listening, and problem-solving skills.
Hard worker, ability to work independently in a complex environment, with a high sense of urgency, ownership and eagerness to work on a diverse set of system challenges.

Advantages:
Experience with multi-cloud/cloud agnostic architecture.
Experience with secure networking technologies such as ZTNA.

Requirements:
4+ years of relevant industry experience as embedded vulnerability researcher or equivalent.
Experience with a dis-assembler for vulnerability research (IDA Pro or GHIDRA).
Deep understanding of OS internals (Linux, RTOS, Android etc.).
Experience with complicated exploitation methods on embedded systems.
Experience with writing code in assembly or c and Python.
Advantage - Graduate of an elite technological unit in IDF.

Requirements:
Minimum Qualifications:
5+ years of professional functional verification experience for FPGA or ASIC designs.
Proven, hands-on mastery of UVM and building complete verification environments.
Strong command of SystemVerilog and Verilog.
Extensive experience with EDA tools (specifically Questa) and complex hardware debugging.

Preferred Qualifications:
Proficiency in Matlab for DPI or bit-exact modeling.
Scripting experience (Python/Tcl/Bash) for building automated CI/CD regression flows.

Requirements:
Requirements:
At least 8 years of experience as a mechanical engineer, with proven experience leading mechanical teams.
Proven experience as team management of at least 4 mechanical engineers.
Experience in Certification IP 66 67.
Proven experience in NPI (new product introduction).
Quality assurance procedure and process-oriented approach.
Proven experience with SolidWorks.
Expert-level knowledge of SolidWorks Simulation.
Expert-level knowledge of mechanical drawings and tolerances.
Expert-level knowledge of production technologies such as CNC machining, molding, injection, etc.
B.Sc in Mechanical Engineering.
Strong collaboration and communication skills.
Ability to work independently while leading others.
Ability to remain agile in a dynamic, fast-changing environment.

Advantages:
Hands-on mindset - the role includes mechanical assemblies, testing, and rework.
Knowledge of MIL-STD requirements and environmental testing.
Knowledge of materials and component selection.
Ability to initiate and drive new processes and designs.
Previous experience as a team lead or technical lead - an advantage.

Requirements:
3+ years of hands-on in antenna measurements and RF - MUST.
Bachelors degree in electrical engineering or a related field.
Experience with RF test and measurement equipment: Spectrum Analyzer, Noise figure meters, Network Analyzer, digital Signal Generators, Power Meters, etc.
Experience with Python programming and automation.
Provide solutions to technical problems associated with RF and antennas.
Knowledge with RF system technologies.

Requirements:
Requirements:
Bachelors or Masters degree in Electrical Engineering, Computer Science, or a related field.
3-5 years of proven experience in RF testing and measurement techniques - Must.
Strong proficiency in Python programming.
Strong understanding of RF fundamentals, calibration procedures, and test standards.
Proven capability working with RF test equipment (VSGs, Spectrum Analyzers, network analyzers, etc.).
In-depth knowledge of RF calibration procedures and standards.
Ability to design and build complex RF test setups using attenuators, couplers, and other RF components.

Advantages / Nice to Have:
Familiarity with drone RF systems, including communication protocols and regulatory requirements.
Experience with industry-standard automation tools (e.g., Jenkins, ELK) and software development processes (e.g., Agile, CI/CD).
Experience with version control systems (e.g., Git) and documentation practices.
Knowledge of wireless communication standards (e.g., Wi-Fi, cellular technologies).

Requirements:
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.

Requirements:
Key Qualifications:
M.Sc. or Ph.D. in Electrical Engineering (EE) from a top-tier university, specializing in Digital Signal Processing (DSP) and Communication
Minimum 10 years of experience in research and design of wideband wireless communication algorithms.
Strong analytical skills with proven ability to mathematically characterize and solve detection and communication problems.
System-level understanding of wireless communication, including RF, Analog, and Digital domains.
Proficiency in MATLAB and Python programming.
Hands-on experience in large-scale Software (SW) development projects.
Excellent collaboration and teamwork skills, with the ability to work effectively in interdisciplinary teams.
Independent, Enthusiastic and Creative.

Preferred:
Hands-on experience operating RF lab equipment, including Spectrum Analyzers, and Vector Signal Generators.
Familiarity with standard wireless communication protocols (e.g., Cellular, WiFi) is strongly preferred.

Requirements:
B.Sc. in Electrical Engineering, Computer Science, or a related technical field (M.Sc. is a plus).
At least 3 years of experience building, training, and deploying ML models.
Proficiency in Python and deep familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow).
Experience building AI agents (e.g., RAG systems, agentic workflows, or tool-calling implementations) is a significant plus.
Proven ability to take a machine learning task from the research phase to a fully implemented and evaluated solution.

Requirements:
3-5+ years of experience in Market Intelligence, Product Marketing, Strategy Consulting, or Business Analysis. Background in intelligence analysis (military, government or relevant private service).
Proven Industry Experience: Demonstrated experience in the Aerospace, Defense, HLS (Homeland Security), or Unmanned Systems (UAS) sectors. Alternatively, previous relevant experience in a "Dual-Use" technology company (tech that serves both commercial and military markets). You must understand the difference between a consumer drone and a military-grade drone/loitering munition.
Education: Bachelors degree in Business Administration, Economics, Engineering, or International Relations. An MBA or relevant Masters degree is an advantage.
Research Mastery: Proficiency in Open Source Intelligence (OSINT) gathering and experience utilizing market intelligence platforms (e.g., Gartner, PitchBook, Janes, or specialized defense and/or security databases).
Data Synthesis: Advanced proficiency in Excel and data visualization tools (e.g., Tableau, PowerBI, or similar) to turn raw data into executive-level dashboards.
Regulatory Literacy: Ability to read and interpret complex regulatory documents (e.g., FAA, EASA, or military defense standards) and understand their impact on the market.
Competitive Analysis: Experience building SWOT analyses, battle cards, and competitive landscape maps.
Technological Fluency: A strong technical aptitude. You don't need to be an engineer, but you must be able to understand technical specs (e.g., RF sensors, radar systems, kinetic vs. non-kinetic mitigation, cyber basics) and translate them into value propositions.
Financial Forensic: Analyze competitor 10-Ks (where applicable), funding rounds, and burn rates to identify who is "buying growth" versus who is truly efficient. Analyze financial data to understand the weaknesses, focus, and targets
Win/Loss: Lead an objective, high-touch Win/Loss program. Analyse our "lost" to identify if we lost on product, price, approach or "the story." Compare with competition.
Executive Communication: Excellent written and verbal communication skills in English. You must be comfortable presenting strategic findings to C-level executives (CPO, CEO) and answering challenging questions on the fly.