דרושים » אבטחת מידע וסייבר » Principal/Senior Windows Exploit Researcher (Cortex)

As a Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our companys malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Dream Job
As a Senior Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our companys malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.

We are seeking a highly skilled and experienced Windows Internals Team Leader to lead a specialized attack team focused on developing offensive, production-ready attack capabilities. This is a research and development (R&D) role at the core of our offensive security efforts. You will be responsible for architecting and delivering advanced low-level attack components used in evasion techniques, red team tooling, and adversary simulations.

You will be hands-on in both leadership and development, guiding technical direction, mentoring engineers, and contributing code across kernel-mode and user-mode components.

The Impact You Will Have

Lead the design, development, and deployment of production-grade offensive capabilities targeting Windows systems
Develop low-level Windows components including kernel-mode code, user-mode loaders, and OS-level evasion mechanisms
Implement Python bindings to connect native low-level components with Python-based research tools and automation
Debug complex issues in both kernel and user space using tools such as WinDBG and KD
Research and develop bypass techniques for modern Windows security controls
Collaborate with the Research Team and other R&D stakeholders to implement and refine offensive concepts
Provide technical mentorship and drive engineering best practices within the team

Were looking for a top-notch Threat Detection Researcher to join our team and spread the power. In this role, you will further develop the Runtime Sensor as part of our threat research team.
WHAT YOULL DO
Develop detections and tools to protect customers from cloud threats
Investigate attacks on cloud environments and malware targeting cloud workloads
Hunt and analyze real-world attacks and emerging cloud threats
Collaborate closely with the R&D team to transform research insights into product features
Work with customers in response to requests related to suspicious activity or potential incidents
Create best practices and security policies based on research findings
Deliver external-facing content (blog posts and talks at security conferences) based on security insights and novel research

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

In this role, you will be the architect of our "security brain." You will write the low-level code that observes what is happening (eBPF/Golang) and build the AI models that understand, diagnose, and prevent issues (LLMs/Python).
Key Responsibilities
1. The "Eyes": eBPF Development & Systems Engineering
Lead the Cimon Agent: Spearhead the active development of our high-performance eBPF agent "Cimon" using Golang and C.
Kernel-Level Innovation: Design and implement eBPF programs for deep observability, runtime security, and container monitoring.
Performance Obsession: Write beautiful, highly efficient code that runs in the Linux kernel with minimal overhead.
Community Leadership: Actively participate in the eBPF and open-source communities, contributing code and presenting technical deep dives at conferences.
2. The "Brain": AI Innovation & Security Research
AI-Driven Security Solutions: Architect and prototype models for:
Automated Exploitability: Checking SAST/SCA findings for validity.
AI Remediation: Automatically fixing Dockerfile misconfigurations and generating patches.
Model Detection: Identifying AI models embedded within codebases.
Benchmarking & Rigor: Design evaluation frameworks to measure model accuracy, false positives, and robustness in security contexts.
Prompt Engineering: Shape prompt strategies and workflows to translate real-world security challenges into actionable AI logic.
3. The Intersection: Collaboration & Evangelism
Cross-Functional Leadership: Serve as the technical link between the AI development team and the core security engineering team.
Thought Leadership: Author whitepapers, technical blogs, and deliver talks on the cutting edge of "AI for Systems Security."
Mentorship: Guide engineers on best practices for both low-level systems design and AI integration.
Why This Role?
No Context Switching Cost: You won't just be researching; you will be building the tools you research. You control the data collection (eBPF) and the analysis (AI).
Deep Tech Focus: This isn't a wrapper-API role. You will be dealing with kernel bypasses, memory safety, and LLM hallucinations all in the same week.
Impact: Your work will directly power the next generation of automated security remediation.

As an Embedded Cyber Security Researcher, youll dive deep into the heart of modern vehicles, uncovering vulnerabilities and helping manufacturers build safer, more secure systems. Your responsibilities will include:

Conducting offensive security research on embedded automotive systems.
Hacking into ECUs (Electronic Control Units) from various OEMs to identify and exploit vulnerabilities.
Reverse engineering firmware and hardware components.
Investigating cryptographic systems, privacy mechanisms, and anti-theft technologies.
Collaborating with internal teams and external partners to deliver actionable insights and recommendations.

We are looking for a visionary VP of Research to lead our elite research group, based out of our Tel Aviv R&D center. Reporting directly to the CTO, you will be responsible for the companys threat research strategy, driving original vulnerability discovery, and ensuring our "Hackers Playbook" remains the most comprehensive in the industry.

This is a highly visible role that balances deep technical leadership with external evangelism. You will not only manage a team of top-tier security researchers but also serve as the public face of our research. You will be presenting at major global conferences, briefing executive customers, and shaping the industry narrative on offensive security.

THE IMPACT YOU WILL HAVE

Research Leadership & Strategy

Lead, mentor, and grow a high-performing team of security and threat researchers.
Define the research roadmap, balancing original vulnerability research (novel attack vectors) with threat intelligence (analyzing emerging APTs, ransomware, and TTPs).
Foster a culture of innovation, guiding the team to discover new attack surfaces in Windows, Linux, macOS, and LLMs.
Thought Leadership & Evangelism

Serve as a primary spokesperson . You must have a proven track record of speaking at top-tier industry conferences (e.g., Black Hat, DEF CON, RSA, BlueHat).
Drive the creation of high-impact technical content, including white papers, technical blogs, and press commentary on breaking security news.
Represent in the media and create relationships with the broader security community.
Product & Business Alignment

Collaborate closely with Product Management and R&D to translate research findings into product capabilities.
Ensure our customers are protected against the latest threats (e.g., US-CERT alerts, Flash reports) within hours of disclosure.
Customer Engagement

Act as a trusted advisor to C-level executives (CISOs, CIOs) at our strategic customers.
Support the Sales and Customer Success teams by providing deep technical insights during high-stakes briefings and QBRs.