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Offensive Cyber/AI-ML Engineer with Security Clearance

Quantum SkyReston, VA🇺🇸United StatesPosted 9 Sept 2026

Quick Overview

Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Reston, VA, United States
Posted
Yesterday
DockerMLOpsAssemblyC++KubernetesPyTorchPython

Job Description

Responsibilities

  • 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.

Required

  • 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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