Embedded Systems Reverse Engineer — AI & Defense

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

Benefits offered by this job

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Job summary

Johns Hopkins University Applied Physics Laboratory LLC (APL) is seeking an Embedded Systems Reverse Engineer in Laurel, MD. You will analyze embedded hardware, firmware, and software to understand designs, discover vulnerabilities, and develop modifications for advanced platforms.

You will also research AI techniques to accelerate capability development, document findings for sponsors, and propose new ideas to address evolving operational challenges. U.S.

Qualifications

• Bachelor's degree in computer/elec engineering or CS.
• 3+ years in embedded systems engineering or security research.
• Proficiency with hardware reverse engineering incl. PCB trace analysis and oscilloscope use.
• Experience with hardware debug interfaces (JTAG, SWD, UART, SPI, I2C).
• Mastery of disassembly tools: Ghidra, IDA Pro, Binary Ninja.
• Development in C and Assembly for ARM or similar architectures.
• Ability to rapidly acquire deep technical proficiency in new domains.
• US citizenship and eligibility for Interim Top Secret clearance.

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 knowledge and capabilities for teammates, leaders, and sponsors.
• Identify emerging technologies, engage sponsors, and propose new ideas.

Skills

C and Assembly development

Hardware reverse engineering

ARM or similar architectures

Deep technical proficiency in new/dom0

Education

Bachelor's degree in Computer/Electrical Engineering or CS

Master's degree (preferred)

Tools

Ghidra

IDA Pro

Binary Ninja

Job description

Johns Hopkins University Applied Physics Laboratory LLC (APL) is seeking an Embedded Systems Reverse Engineer in Laurel, MD. You will analyze embedded hardware, firmware, and software to understand designs, discover vulnerabilities, and develop modifications for advanced platforms.

You will also research AI techniques to accelerate capability development, document findings for sponsors, and propose new ideas to address evolving operational challenges. U.S.