Embedded DSP Software Engineer (C/C++, SDR)

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 100,000 - 245,000

Full time

14 days+

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Job summary

The Johns Hopkins University Applied Physics Laboratory seeks a Software Developer to build high-performance software for electronic warfare systems. You will develop C/C++ code for desktop and embedded platforms, implement DSP algorithms, and validate your work through field tests and lab demos.

You will collaborate with a multidisciplinary team including engineers and FPGA/embedded software specialists to ensure seamless integration within a collaborative software framework.

Qualifications

  • Bachelor's degree in a related technical discipline.
  • At least three years of relevant software development experience.
  • Experience with source control tools such as Git.
  • Experience with C/C++ programming languages.
  • Ability to obtain Interim Secret clearance by start date; US citizenship required.
  • Preferred: Master's degree, embedded software, Linux, Python/MATLAB, FPGA languages, SDR, containers, Kubernetes; active DoD clearance a plus.

Responsibilities

  • Develop programs in C/C++, for both desktop and embedded applications.
  • Implement DSP algorithms for various signals used in EW systems.
  • Validate, test, and demonstrate work in field tests and lab demos.

Skills

C/C++
DSP algorithms
Embedded software
Linux
Python
MATLAB
Security clearance (DoD)

Education

Bachelor's degree in Computer Engineering/CS/SE
Master's degree (preferred)

Tools

Git
Docker
Kubernetes
VHDL/Verilog

Job description

The Johns Hopkins University Applied Physics Laboratory seeks a Software Developer to build high-performance software for electronic warfare systems. You will develop C/C++ code for desktop and embedded platforms, implement DSP algorithms, and validate your work through field tests and lab demos.

You will collaborate with a multidisciplinary team including engineers and FPGA/embedded software specialists to ensure seamless integration within a collaborative software framework.

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