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Windows Developer

Cohere Technology Group LLC

Herndon, VA1 month ago
33 views14 saves6 applies

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Job Type

full time

Description

Position Title: Windows Developer – Kernel & Reverse Engineering
Location: Arlington, VA or Herndon, VA
Clearance Required: Active ISA/TS (Top Secret) or higher

Position Overview:
We are seeking a highly skilled Windows Developer with expertise in kernel-level development and reverse engineering to join our advanced technology team in Arlington or Herndon, VA. This role is critical for designing, developing, and analyzing low-level Windows components to support national security and cyber defense missions.

Key Responsibilities:

  • Design and implement software components in the Windows kernel space.

  • Perform reverse engineering of binaries to identify functionality, vulnerabilities, or behaviors.

  • Collaborate with cybersecurity analysts, researchers, and fellow engineers to develop cutting-edge tools and capabilities.

  • Analyze undocumented OS behaviors and contribute to low-level system integration.

  • Write clean, efficient, and well-documented code following security best practices.

Required Qualifications:

  • Strong experience in Windows kernel development (e.g., drivers, low-level APIs, internals).

  • Solid reverse engineering skills using tools such as IDA Pro, Ghidra, WinDbg, etc.

  • Proficiency in C/C++ and experience with debugging and performance tuning.

  • Deep understanding of Windows OS internals and system architecture.

  • Active ISA/TS clearance or higher (no exceptions).

Preferred Qualifications:

  • Experience with malware analysis, exploit development, or vulnerability research.

  • Familiarity with secure coding practices and hardened system development.

  • Background working in national security, defense, or intelligence domains.

This job is found at InterviewStack.io

Skills

windowstypescriptapisc++debuggingsystem integrationmalware analysis

About Cohere Technology Group LLC

Cohere builds powerful models and AI solutions enabling enterprises to automate processes, empower employees, and turn fragmented data into actionable insights.

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