Requirements:
5+ years of experience in Windows internals, low and high-level attack-oriented development, penetration testing, and offensive security.
3+ years of experience in Python development.
Demonstrated skill in writing cyber-related code optimized for performance, memory, and stealth.
Experience with attack frameworks and tools such as Metasploit, Nmap, Cobalt Strike, Impacket, Burp, Pacu, and similar.
Proficiency in reverse engineering and debugging (e.g., IDA, Radare2, WinDBG) for low-level research.
Familiarity with cloud ecosystems and hybrid environments, specifically AWS, Azure.
Ability to apply AI or machine learning concepts and models to decision-making processes within the automated attack platform.
Excellent teamwork, adaptability, and a quick learning mindset.
Preferred skills:
IDF cyber team veteran.
Passion for cyber research and hands-on experience with red/blue team operations.
Experience in Agile methodology and security product development.
Bachelors degree in Computer Science or related field.

Requirements:
At least 3 years of experience in application security or vulnerability research.
Hands-on experience in penetration testing for web, mobile, infrastructure, and thick client applications.
Experience bypassing security tools like RBI, EDR, and DLP.
Programming skills, with a preference for Java, Go, or C.
Ability to find and fix security flaws in open-source libraries and third-party software.
Knowledge of supply chain attacks and how to prevent them.
Hands-on experience with AWS cloud attacks and mitigations (preferred).
Understanding of microservices architectures, Docker, and Kubernetes.
Strong problem-solving skills and the ability to work independently.
Good communication skills and a passion for sharing knowledge.
Understanding of network security and encryption protocols.
Additional Skills (Preferred):
Experience using SAST/DAST tools for static and dynamic code analysis.
Experience working in Agile teams and collaborating with different departments.
Security certifications like OSCP, CRTP, OSWE, or similar.
Ability to lead security projects and initiatives.
Adaptability to a fast-paced environment.
Knowledge of current security threats and how to defend against them.
Experience with writing security blogs, CVE research, or bug bounty programs is a plus.
BSc in Computer Science- an advantage.

Requirements:
What You'll Need:
7+ years of experience in cybersecurity research, vulnerability research, or offensive security.
Previous work experience in finding vulnerabilities and publishing research findings.
Experience with and knowledge of high-level systems, web applications, and application security.
Highly motivated, great self-learner, curious, responsible and independent
Strong communication skills - written and verbal.

And Ideally:
Previous experience in presenting your work at industry conferences.
Experience with Kubernetes and container technology.
Solid programming skills in at least one language (C, C++, Python, GO, Rust).
B.Sc. or higher in Computer Science, Software Engineering, Mathematics, or equivalent professional background.
Experience with data/security analysis.
Experience with and knowledge of cloud environment architecture (AWS, Azure, GCP).

Requirements:
8+ years of hands-on experience in security research, offensive security, or software development.
Practical experience conducting offensive security assessments, including web application exploitation, network-based attacks, and adversarial attack simulation.
Strong development skills (Python - advantage): capable of writing production-quality, scalable code.

Requirements:
5+ years of experience as a security researcher or industry-equivalent experience.
Understanding of memory corruption (Stack/Heap, UAF) and logical vulnerabilities (Injection, Logic/Design flaws, TOCTOU).
Understanding of common security mitigations such as ASLR, DEP, and CFI.
Expertise in OS internals, file systems, network protocols and cryptography concepts.
Hands-on experience with reverse engineering and debugging tools such as IDA Pro or Ghidra, and GDB.
Proficient in Assembly, C, and Python.

Requirements:
2+ years of experience in a team leader or tech lead position.
4+ years in security research, with hands-on experience in at least 2 of the following domains: cloud, web, API, identity, or supply chain security - and a solid working familiarity with the rest.
Strong coding and data analytics skills in Python, JavaScript, and Bash, with proficiency in SQL-like queries.
Proven experience building detection mechanisms as part of a security product or detection engineering practice.
Hands-on experience working with AI models in production - including agentic AI systems and LLMs - this is a must.
Experience with the full ML lifecycle, and building machine learning or deep learning models - a significant advantage.
High comfort with ambiguity - ability to define direction and execute without predefined guidelines.
Curiosity, creativity, and a self-driven approach to research and leadership.
sense of urgency in shaping the AI security landscape for the entire security community

Requirements:
Leadership Experience: At least 2+ years of experience leading a technical team or serving as a technical lead in a research-heavy environment.
Reverse Engineering Mastery: Extensive hands-on experience with tools such as IDA Pro, Binary Ninja, or Ghidra.
Deep Security Background: Proven track record in vulnerability research (VR), including advanced exploit development and program analysis.
Programming Excellence: Proficiency in C/C++ and Python, with the ability to review complex code and guide technical architecture.
System Internals Expert: Deep understanding of OS internals (Memory, Process management) and low-level architectures (x86/64, ARM, MIPS).
Communication Skills: Ability to translate complex technical vulnerabilities into clear business risks for stakeholders.

Requirements:
5+ years of experience in cybersecurity landscape
Deep understanding of networking technologies and protocols, network security principles, firewalls, network access controls and network-based attacks
Experience in monitoring or analyzing network topologies, captures and flows
Deep knowledge in security mechanisms, products, detection techniques
Strong coding skills, with ability to develop end-to-end POC for new security capabilities
Excellent communication and team collaboration skills
Fluency in English.

Requirements:
At least 3 years of experience in security research, fraud research, detection engineering, threat research, mobile security research, browser security research, or a similar hands-on technical role.
Bachelors degree in Computer Science, Cybersecurity, Data Science, or a related field or equivalent hands-on experience.
Strong hands-on experience with at least one of the following areas:
Desktop or mobile browsers, browser APIs, browser automation, browser fingerprinting, web signals, or client-side web security.
Native mobile applications for Android or iOS, mobile OS behavior, device signals, emulators, mobile automation, app instrumentation, or mobile security.
Strong understanding of web technologies, mobile technologies, APIs, application behavior, and modern attack techniques.
Strong Python skills and experience building research tools, automation, data analysis workflows, detection prototypes, or feature engineering pipelines.
Experience analyzing messy real-world data, investigating anomalies, validating hypotheses, and drawing practical conclusions from incomplete information.
Familiarity with machine learning training and validation concepts, such as train/test split, validation sets, overfitting, leakage, feature quality, precision/recall, false positives, false negatives, and model evaluation.
Ability to produce data features in a structured, reliable, and model-friendly way.
Ability to think like an attacker while designing reliable, scalable, and explainable defenses.
Strong problem-solving skills, independence, persistence, and a getting things done attitude.
Excellent communication and interpersonal skills.
Ability to work closely with engineering, product, and data science teams and translate research insights into practical product capabilities.

Requirements:
Practical experience performing vulnerability research and exploitation, preferably in mobile or other modern environments, eg. Windows/Linux/iOS/MacOS
Practical reverse engineering experience, preferably in ARM / TrustZone / Hypervisors
Advantage: Cryptographic primitives and weaknesses
Advantage: Advanced fuzzing
Advantage: Offensive hardware research/board design
Advantage: Experience dealing with modern memory corruption mitigations, such as PAC and MTE.