Two Six Technologies
Embedded Systems Reverse Engineer
$112K–$168K
Herndon, Virginia +1 · Full-time · Posted Sep 2, 2026
- Location
- Herndon, Virginia
13865 Sunrise Valley Dr Herndon, VA - Education
- Bachelor’s (or higher) degree in Computer Science, Computer/Electrical Engineering, or a related field (or equivalent practical experience).
About the job
Reverse engineer embedded and wireless systems to identify vulnerabilities, develop proof-of-concept exploits, and use agentic AI to accelerate security research.
What you'll do
- Reverse engineer network devices and embedded systems, analyze firmware and protocols, and assess vulnerabilities.
- Develop maintainable proof-of-concept exploits and custom binary analysis tools.
- Integrate agentic AI systems into firmware red-teaming, vulnerability discovery, and reverse-engineering workflows.
What they ask for
- Bachelor’s (or higher) degree in Computer Science, Computer/Electrical Engineering, or a related field (or equivalent practical experience).
- Experience developing, debugging, and scripting in C/C++ and Python in Linux command-line environments, with low-level programming, memory management, and system interaction.
- Experience with reverse engineering and vulnerability research using tools such as IDA Pro, Binary Ninja, or Ghidra.
- Experience or familiarity with agentic AI for red-teaming, vulnerability research, or hardware/firmware analysis; expertise in at least one listed specialty area; ability to work daily in the Herndon office; active Top Secret clearance and ability to obtain and maintain TS/SCI.
Nice to have
- AI-assisted security paradigms; embedded development using C/C++ for RTOS or Linux.
- Cryptographic security, secure boot, hardware debugging (JTAG/SWD), SDR, signal processing, side-channel analysis, or client-facing technical experience.
Pay
$111,983 — $167,974 USD (base salary)
Tools
C/C++, Python, Linux, IDA Pro, Binary Ninja, Ghidra, QEMU, ARM, MIPS, PowerPC
AI focus
Integrate agentic AI systems, including automated exploit synthesis tools, LLM-driven fuzzers, or autonomous security agents, to accelerate firmware red-teaming, vulnerability discovery, and reverse engineering.
Model-written summary · the original posting is authoritative