Embedded Systems Reverse Engineer – AI-Driven Security

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

Job summary

The Johns Hopkins University Applied Physics Laboratory seeks an Embedded Systems Reverse Engineer to analyze hardware, firmware, and software of embedded platforms and uncover vulnerabilities. You will develop capabilities that modify behavior and apply AI to accelerate cyber capability development.

You will document findings for sponsors and teammates, identify new technologies, and propose practical ideas to meet evolving operational challenges. U.S.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• 3+ years in embedded systems engineering or security research.
• Proficient in hardware reverse engineering incl. PCB trace analysis and meters/tools.
• Expertise with hardware debug interfaces (JTAG, SWD, UART, SPI, I2C).
• Proficient in disassembly/decompilation tools (Ghidra, IDA Pro, Binary Ninja).

Responsibilities

• Analyze hardware, firmware, and software of embedded systems to understand designs and vulnerabilities.
• Develop solutions to modify behavior of target platforms.
• Research and apply AI technologies to accelerate cyber capability development.
• Document and communicate capabilities to teammates, leaders, and sponsors.
• Identify emerging technologies and propose ideas to address evolving challenges.

Skills

Embedded systems engineering

Security research

Hardware reverse engineering

Low-level programming (C/Assembly)

Disassembly / decompilation

Education

Bachelor's in Computer/Electrical Engineering or Computer Science

Master's or Ph.D. in a related technical discipline

Tools

Ghidra

IDA Pro

Binary Ninja

Job description

The Johns Hopkins University Applied Physics Laboratory seeks an Embedded Systems Reverse Engineer to analyze hardware, firmware, and software of embedded platforms and uncover vulnerabilities. You will develop capabilities that modify behavior and apply AI to accelerate cyber capability development.

You will document findings for sponsors and teammates, identify new technologies, and propose practical ideas to meet evolving operational challenges. U.S.