Reverse Engineer & AI Workflow Architect

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

Presencial

USD 100.000 - 245.000

Jornada completa

14 días+

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Descripción de la vacante

The Johns Hopkins University Applied Physics Laboratory is seeking experienced reverse engineers and AI-enabled developers in Laurel, MD. You will investigate complex systems, develop AI-enabled workflows, and design infrastructure to accelerate cyber analysis and engineering tasks.

Ideal candidates have a Bachelor's in a relevant field, 2+ years in reverse engineering, and hands-on experience with AI tools and low-level analysis.

Formación

  • Bachelor's degree in a relevant technical field.
  • 2+ years in reverse engineering, software/cyber analysis, or AI-enabled development.
  • Experience with Ghidra, IDA Pro, Binary Ninja or similar tools.
  • Strong OS, architecture, and software internals knowledge.
  • Proficient in Python, C/C++, Rust or similar.

Responsabilidades

  • Reverse engineer software, firmware, and hardware to understand system behavior.
  • Develop agentic AI workflows to augment reverse-engineering tasks.
  • Design AI agents to interface with tools and data sources for analyses.
  • Build and maintain AI development infrastructure and MCP services.
  • Evaluate AI models, prompts, tools, and workflows for reliability.
  • Test, document, and integrate capabilities into sponsor environments.

Educación

Bachelor's degree
Master's degree
PhD (preferred)
Reverse engineering
Python
C/C++
Rust
Strong communication
Security clearance eligible

Herramientas

Ghidra
IDA Pro
Binary Ninja
debuggers
disassemblers

Descripción del empleo

The Johns Hopkins University Applied Physics Laboratory is seeking experienced reverse engineers and AI-enabled developers in Laurel, MD. You will investigate complex systems, develop AI-enabled workflows, and design infrastructure to accelerate cyber analysis and engineering tasks.

Ideal candidates have a Bachelor's in a relevant field, 2+ years in reverse engineering, and hands-on experience with AI tools and low-level analysis.

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