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Requirements:
B.Sc. or higher in Electrical Engineering, Computer Engineering, or related field- Must
8+ years of experience in RTL design using Verilog/SystemVerilog- Must
Proven experience in designing micro-architecture for complex systems
Strong system-level understanding and problem-solving skills.

Requirements:
BSc in electrical/computer engineering or relevant military background
At least 4 years of experience
Proven track record in RTL coding with System Verilog
Experience with System Verilog
VCS, Vivado - Advantage.

Requirements:
At least 5 years of experience with C++ programming for Windows
Experienced with development of kernel drivers on Windows - significant advantage
Capable and courageous to deep dive into complex areas in the system, analyze them, suggest solutions, and build solution
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Excellent design and analytical skills, problem solver / extended troubleshooting capabilities
Eager to own and maintain code at the highest quality and security level, including UT and automation tests
Experience with CI/CD tools (Jenkins/Git/Artifactory)
BSc in computer-science/engineering/ Elite unit alumni
Team player
How will you stand out from the crowd:
Experience with Windows Internals
Reverse engineering experience
Experienced in the cyber industry and in development of Security Products for Windows
Experience with Kernel Mode development or debugging
Ability to analyze and interpret crash dumps (e.g., WinDbg, KD)
Familiarity with Reverse Engineering techniques and tools (e.g., IDA Pro, Ghidra)
Understanding of Security principles (e.g., secure coding, exploitation techniques, mitigations, WASP / Encryption / Authentication)
Experience with Driver development or interaction with low-level system components
Awareness of Malware analysis or threat detection techniques.

Requirements:
Your Experience:
Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience.
Extensive experience in software engineering, with a focus on building and deploying production-grade systems.
Proven experience with cloud platforms, particularly AWS services.
Strong programming skills in languages such as Python.
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs).
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance).
Preferred Qualifications
Experience building agentic AI systems or multi-agent workflows.
Contributions to open-source projects in the AI/ML space.
Experience with MLOps principles and tools for model deployment and monitoring.
Familiarity with cybersecurity concepts and secure software development practices.
Published research in relevant AI/ML fields.

Requirements:
8+ years of experience in backend software engineering.
Deep proficiency in modern backend languages.
Extensive experience with Kubernetes (K8s) and microservices architecture.
Deep understanding of both SQL and NoSQL databases, including complex data modeling and performance optimization for massive datasets.
Expertise in scaling high-availability environments while championing a culture of engineering excellence and continuous operational improvement.
Experience leading technical projects or mentoring high-performing teams.
A track record of taking full ownership of production systems and solving high-stakes engineering bottlenecks.
B.Sc. in Computer Science, Software Engineering, or equivalent practical experience (e.g., alumni of elite technological military units).
Preferred Qualifications
Experience in high-scale SaaS or cybersecurity environments.
Deep proficiency in Go or Python.
Practical experience with GCP (Google Cloud Platform).

Requirements:
7+ years of professional front-end development experience.
2+ years of experience leading or mentoring front-end engineers (team lead / tech lead).
Strong expertise in modern JavaScript/TypeScript.
Solid experience with modern front-end frameworks (React - must; Angular/Vue - advantage).
Deep understanding of front-end architecture, state management, and component-based design.
Experience building complex applications and interactive UIs.
Proven experience with code reviews, testing strategies, and CI/CD methodology.
Strong focus on clean, maintainable, and scalable code.
Experience working closely with backend APIs (REST / gRPC / WebSockets).
Familiarity with UX principles and collaboration with designers.
Strong engineering mindset with a can-do attitude.
Excellent communication and leadership skills.
Ability to execute under uncertainty in a dynamic, high-tech environment.
Enjoy working in a cross-geography, multi-site environment.
Excellent verbal and written skills in English.
Advantages:
Experience with performance optimization and large-scale front-end applications.
Experience with visualization libraries (e.g., D3, Canvas, WebGL).
Experience in complex B2B or deep-tech products.
Familiarity with Python or backend technologies.
Background in systems with real-time data or hardware interaction.

Requirements:
Your Experience
Strong experience of 5-7 years in DevOps / Platform Engineering roles.
Good understanding of the AI ecosystem and modern AI workflows.
Hands-on familiarity with AI tools such as Claude and other GenAI platforms.
Ability to present a personal AI-related project
Solid understanding of production systems and modern CI/CD practices.
Experience with cloud infrastructure, automation, and deployment pipelines.
Strong communication skills and ability to work across multiple stakeholders.
Nice to have
Exposure to DevSecOps, compliance, and FinOps practices.
Experience building or integrating AI-driven systems in production environments.
Experience building tools or automations using Claude or similar GenAI tools.

Requirements:
At least 5 years of hands-on programming experience - Must.
BSc. in Computer Science, Computer Engineering, Mathematics, or any relevant scientific field (advanced degrees are an advantage) - Must.
Experience in computer architecture, assembly language, and low-level programming concepts - Advantage.
Experience working in a multidisciplinary environment - Advantage.
Familiarity with MLIR/LLVM - Advantage.
A motivated and resourceful problem solver with a passion for tackling complex technical challenges, especially in hardware-oriented environments.

Requirements:
At least 7+ years proven experience as a technical program manager.
Demonstrated experience driving large-scale, strategic programs spanning multiple R&D groups, establishing governance and portfolio-level visibility from scratch.
Deep expertise in building end-to-end processes using Agile/iterative development methodologies, with a proven ability to design scalable frameworks for engineering teams.
Highly proficient in leveraging modern AI technologies and LLM-backed tools to automate, optimize, and enhance daily program management efficiency.
A self-motivated, proactive self-starter who excels at independent problem-solving and critical thinking with a proven ability to remain calm, flexible, and decisive when navigating highly ambiguous or rapidly changing environments.
Strong technical background with the ability to actively participate in, and constructively contribute to, complex technical and architectural design discussions.
Exceptional English communication skills (both written and verbal) with a demonstrated ability to confidently present to executives, influence cross-functional stakeholders without direct authority, and foster a culture of transparency and learning.
Highly proficient with standard applications and tools, specifically Advanced Jira expertise with deep knowledge of both On-Prem and Cloud environments, utilizing Rich Filters and Advanced Roadmaps.
Bachelor's degree from a four-year college or university; or equivalent training, education, and experience in information / cyber security, computer systems, IT, etc.
Preferred Qualifications
Proven record of managing large scale programs in the security world.
Previous development experience.
Technical acumen within the Security Domain.

Requirements:
8+ years of industry experience in AI/ML or Data Science, with at least 4-year leading teams and managing direct reports.
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Preferred Qualifications
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.

Requirements:
5+ years of experience in the software industry
2+ years of hands-on experience as a Product Owner or Product Manager
2+ years of experience working directly withSaaS solutionsor cloud-native environments
BSc in Computer Science or Engineering
Strong technical aptitude with the ability to understand on-prem and SaaS architectures, dependencies between different components and complex customer environments
Strong analytical and problem-solving skills-an ability to dive into technical details without losing sight of the big-picture business value
AI-Augmented Productivity: Hands-on experience using Generative AI tools as a primary workflow driver to significantly accelerate product documentation, user story slicing, and acceptance criteria generation
Structured Prompting Skills: Proven ability to effectively prompt LLMs to break down complex, multi-layered technical requirements into structured, developer-ready tasks without losing the original business context
Proven ability to influence without authority and execute large-scale, cross-departmental software projects in an enterprise environment
Exceptional communication and presentation skills
Proactive and highly motivated individual with a strong work ethic and a goal-oriented mindset
Preferred Qualifications (An Advantage):
Previous experience working as a PO/PM or Engineer in a Cyber Security product company
Proven experience in ADLC (Agent Development Lifecycle)
Experience in MS Windows internals and sessions or PAM (Privileged Access Management).
Strong familiarity with security architectures, such as access control gateways, proxies, secure session management.

Requirements:
At least 5 years of experience with C++ programming for Windows
Experienced with development of kernel drivers on Windows - significant advantage.
Capable and courageous to deep dive into complex areas in the system, analyse them, suggest solutions, and build solution
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Excellent design and analytical skills, problem solver / extended troubleshooting capabilities
Eager to own and maintain code at the highest quality and security level, including UT and automation tests.
Experience with CI/CD tools (Jenkins/Git/Artifactory)
BSc in computer-science/engineering/ Elite unit alumni
Team player
How will you stand out from the crowd:
Experience with Windows Internals
Reverse engineering experience
Experienced in the cyber industry and in development of Security Products for Windows
Experience with Kernel Mode development or debugging
Ability to analyze and interpret crash dumps (e.g., WinDbg, KD)
Familiarity with Reverse Engineering techniques and tools (e.g., IDA Pro, Ghidra)
Understanding of Security principles (e.g., secure coding, exploitation techniques, mitigations, WASP / Encryption / Authentication)
Experience with Driver development or interaction with low-level system components
Awareness of Malware analysis or threat detection techniques.

Requirements:
Your Experience
10+ years of software engineering experience using Python, Go, Node.js, Ruby, Java, or C#.
Strong, hands-on proficiency in JavaScript, TypeScript, and MongoDB.
2-3+ years of experience building enterprise-scale applications in cloud/SaaS ecosystems (AWS preferred).
2+ years of experience managing on-premise environments.
Proven capability to leverage modern AI tools to lead, design, and accelerate end-to-end feature delivery.
A solid and practical understanding of software security and networking fundamentals.

Requirements:
4+ years of experience in an analytics role.
Bachelors degree in industrial engineering, Information Systems, or related discipline.
Proficiency in Python for data manipulation, analysis, and basic scripting is required.
Strong SQL skills and experience querying structured data sources.
Familiarity with BI tools such as Tableau, Looker, or Power BI.
Analytical mindset with a keen interest in connecting data to user experience and product performance.
Excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences.
Comfortable working collaboratively in cross-functional teams.
Additional information
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Understanding of A/B testing, experimentation frameworks, or product metrics design.
Interest or experience in cybersecurity, AI/ML, or identity security.

Requirements:
5+ years of hands-on experience working as a Software, DevOps, or infrastructure developer.
Significant development experience with the following: Python, Groovy, Bash, PowerShell
Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud
Experience with Containers and Orchestrators (Docker, Kubernetes, ECS, etc.)
Experience with CI/CD Tools and Configuration Management Systems (e.g. Jenkins, Git, Ansible, Terraform, etc.)
Experienced with building the full application release cycle (CI/CD).
Experience in creation of highly automated Infrastructures - as code
Knowledge of operating system administration
Excellent design and analytical skills
Creative troubleshooting skills and out-of-the-box thinking.
Know your way around the open-source community
Strong communication skills, Team player
Open-minded, Creative out of the box thinker.
A thorough and methodical approach to any task, ability to plan, conduct, prioritize, track and measure processes
Decision-making skills: taking into account both architectural and business considerations, at times with incomplete information.
Strong ability to use new technologies and understand them in depth through rapid self-learning.
Proactive by nature; internal drive for excellence and improvement
Highly motivated, autonomous
Fluent in English, good writing skills
How will you stand out from the crowd:
BA in Computer Science or MAMRAM graduate
Experience in testing methodologies and developing tests (e.g Unit tests, integration tests, system tests)
Strong networking foundations (TCP/IP, DNS, Network Protocols, Routing)
Security principles and techniques (Risk management, Threat modeling, secure configuration)
Database usage experience and understanding
Experience with Agile development and practices
Cloud Solution Architect Certificate.