Reverse Engineer & AI Workflow Architect

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Benefits offered by this job

Education assistance

Retirement benefits

Paid time off

Health insurance

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks reverse engineers and AI-enabled software developers to investigate complex systems and design agentic AI workflows for analysts. You will build AI infrastructure, evaluate models, and integrate capabilities into sponsor and lab environments.

Minimum requirements include a bachelor’s in CS/engineering, 2+ years in reverse engineering or related fields, and experience with Ghidra/IDA/Binary Ninja, plus Python/C/C++/Rust.

Qualifications

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Data Science, AI or related field.
• At least 2 years of reverse engineering, software development, cyber analysis, or AI-enabled software development.
• Experience reverse engineering software/firmware with tools like Ghidra, IDA Pro, Binary Ninja, debuggers or disassemblers.
• Strong understanding of OS fundamentals, computer architecture, software internals and low-level system behavior.
• Software development experience in Python, C/C++, Rust or similar.
• Hands-on experience using LLMs or generative AI to solve engineering or research problems.
• Knowledge of prompting, context management, tool use, retrieval and agentic workflows is beneficial.

Responsibilities

• Reverse engineer software, firmware and hardware to understand architecture, interfaces, behavior.
• Develop and apply agentic AI workflows that augment reverse-engineering and cyber analysis tasks.
• Design AI agents to interface with tools, environments, docs, and data sources for complex analyses.
• Build and maintain AI development infrastructure including model interfaces and tool integrations.
• Evaluate AI models, agent architectures and prompting strategies for reliability and applicability to missions.
• Operationalize proof-of-concept capabilities by testing, documenting, packaging, and integrating into sponsor labs.

Skills

Reverse engineering

Python

C/C++

Rust

LLMs / AI workflows

Communication

Education

Bachelor’s degree in CS/EE/CE/Data Science/AI

Master’s or Ph.D. in CS/AI or related field

Tools

Ghidra

IDA Pro

Binary Ninja

Debuggers / disassemblers

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD seeks reverse engineers and AI-enabled software developers to investigate complex systems and design agentic AI workflows for analysts. You will build AI infrastructure, evaluate models, and integrate capabilities into sponsor and lab environments.

Minimum requirements include a bachelor’s in CS/engineering, 2+ years in reverse engineering or related fields, and experience with Ghidra/IDA/Binary Ninja, plus Python/C/C++/Rust.