Prototyping & Signal Analysis Intern (Embedded DSP)

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 32,000 - 66,000; Part time

Benefits offered by this job

Education assistance

Generous retirement contributions

Healthy work-life balance

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) invites motivated engineers to join as prototyping and signal analysis interns in Laurel, MD. Work on embedded systems, hardware prototypes, and signal processing to advance national security capabilities across hypersonics, navigation, and look into long-range missile tech.

You will gain hands-on experience with FPGAs, microcontrollers, and sensor integration while developing algorithms and analytical skills for real-world

Qualifications

• Pursuing a B.S. or M.S. degree in Electrical or Computer Engineering, Physics, Mathematics, Computer Science, or similar with a 3.0 GPA or higher.
• Proficient in Python, Matlab, C, C++, or VHDL.
• Strong communication skills and ability to connect with technical teams and leaders.
• Willing to obtain Interim Secret clearance by start date and Top Secret clearance eventually.

Responsibilities

• Leverage embedded technologies including FPGAs and microcontrollers to integrate sensors like radio navigation receivers, SDRs, or IMUs.
• Implement signal processing algorithms for communication, telemetry, and radio navigation sensors.
• Use analytical programming to assess performance of fielded and prototype systems.
• Deploy algorithms to prototype systems and analyze performance.

Skills

Python

Matlab

C/C++

VHDL

Education

B.S./M.S. in Electrical or Computer Engineering, Physics, Mathematics, or Computer Science

Tools

FPGAs

Microcontrollers

Software Defined Radios

IMUs

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) invites motivated engineers to join as prototyping and signal analysis interns in Laurel, MD. Work on embedded systems, hardware prototypes, and signal processing to advance national security capabilities across hypersonics, navigation, and look into long-range missile tech.

You will gain hands-on experience with FPGAs, microcontrollers, and sensor integration while developing algorithms and analytical skills for real-world