Offensive Cyber/AI-ML Engineer

QUANTUM SKY LLC
Reston, VA, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Microsoft Windows Artificial Intelligence Assembly Language C++ (Programming Language) Software Debugging Dynamic Program Analysis Firmware Fuzz Testing Python (Programming Language) Linux Kernel Machine Learning Operational Data Store
+12 more
Open Source Technology Reverse Engineering Pytorch Large Language Models Generative AI Kubernetes Information Technology IDA Pro Machine Learning Operations Automation Anywhere Docker Vulnerability Analysis

Job description

  • Reverse-engineer software and firmware and conduct vulnerability research across a range of targets and architectures.
  • Develop proof-of-concept exploits and produce clear findings that inform both offensive operations and defensive hardening.
  • Apply AI/ML - including large language models and agentic systems - to accelerate security research, analysis, and automation.
  • Build machine-learning models that detect anomalous and malicious behavior in high-volume security and operational data.
  • Prototype new capabilities fast, and mature the most promising into hardened, deployable tools.
  • Collaborate across the engineering team and mentor others; help set the technical bar for our offensive-cyber and AI work.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, or a related field - or equivalent hands-on experience.
  • Reverse engineering - strong, demonstrated experience with industry-standard tools such as Ghidra and IDA Pro, working comfortably from compiled and stripped binaries.
  • Low-level fundamentals - assembly language (e.g., x86/x64, ARM) and a solid grasp of Windows and Linux internals and debugging.
  • Vulnerability research & exploit development - finding and proving memory-corruption and logic flaws using techniques such as fuzzing and dynamic analysis.
  • Strong programming in Python and C/C++.
  • Applied AI/ML experience - building and deploying real systems with PyTorch and modern open-source LLMs and tooling.
  • Strong problem-solving and communication skills, and the ability to juggle multiple efforts in a fast-moving environment.

Desired:

  • Embedded / firmware reverse engineering and familiarity with emulation tooling.
  • Experience with agentic / tool-using AI workflows and retrieval-augmented generation (RAG).
  • MLOps and deployment experience (Docker, Kubernetes, model-serving frameworks), including on-prem or edge deployment.
  • Prior work on a government-sponsored offensive-cyber, vulnerability-research, or red-team program.
  • Offensive-security certifications such as OSCP, OSED, GXPN, or GREM.

Clearance:

  • Active TS/SCI preferred; active SECRET (minimum) with the ability and willingness to obtain higher access. U.S. citizenship required.

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