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
Job source
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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