Windows Kernel & Vulnerability Research Engineer

Windows Kernel & Vulnerability Research Engineer Chantilly, VA TS/SCI to start 

Key Responsibilities

• Conduct in-depth research into Windows internals, including system architecture, memory management, drivers, processes, and kernel-mode operations.

• Perform reverse engineering of Windows binaries, drivers, and firmware using industry-standard tools.

• Identify, analyze, and document zero-day vulnerabilities and security weaknesses across kernel and user-mode components.

• Develop proof-of-concept (PoC) code to demonstrate impact and exploitability of discovered vulnerabilities.

• Collaborate with engineering teams to design mitigations, security patches, and hardening strategies.

• Analyze exploit techniques, malware samples, and emerging threat vectors affecting Windows platforms.

• Contribute to internal knowledge bases, tooling, and automation that streamline research workflows.

Required Qualifications

• Strong understanding of Windows operating system internals, including kernel architecture, drivers, APIs, memory layout, and subsystem behavior.

• Proficiency in C/C++, with experience writing or analyzing kernel-mode code and Windows drivers.

• Expertise in reverse engineering tools such as IDA Pro, Ghidra, WinDbg, x64dbg, or Binary Ninja.

• Solid grasp of assembly language (x86/x64) and low-level debugging.

• Experience conducting vulnerability research or exploit development in Windows environments.

• Familiarity with common exploit mitigation techniques (ASLR, DEP, CFG, SMEP/SMAP, etc.).

Preferred Qualifications

• Prior experience discovering and responsibly disclosing security vulnerabilities.

• Knowledge of kernel exploitation techniques, sandbox escapes, or privilege escalation attacks.

• Understanding of malware analysis, rootkits, or advanced persistent threats.

• Contributions to open-source security tools or research publications.

• Experience with scripting languages (Python, PowerShell) for automation.

Who You Are

• Curious, analytical, and passionate about low-level technologies.

• Comfortable diving into undocumented features and complex system behavior.

• Able to work independently while collaborating effectively across teams.