Lead RFML Research Scientist – On-Site, College Park MD

Peraton

College Park (MD)

On-site

USD 190,000 - 304,000

Full time

4 days ago
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Job summary

Peraton Labs in Maryland seeks a Principal RF Research Scientist to lead cutting-edge R&D in RFML, DSP, and SDR, driving prototypes from concept to demonstration. This on-site role collaborates with our government customer to shape new work through whitepapers and technical leadership.

This role requires full-time on-site work at a customer site near College Park, MD, with a strong background in RF fundamentals, ML, and distributed teams.

Qualifications

  • Minimum of 12+ years of experience with a Bachelor’s degree, 10+ years with a Master’s, or 8+ years with a Ph.D. in CS or related field.
  • Deep expertise in RFML, DSP, and/or SDR/wireless prototyping.
  • Strong RF fundamentals: sampling, modulation, channel effects, noise/interference, link budgets, synchronization, detection/estimation.
  • Hands-on development in Python and/or C/C++ in SCIF environments.

Responsibilities

  • Lead the technical design, development, and prototyping of RF sensing/communications solutions.
  • Develop and evaluate DSP algorithms for real-world RF environments.
  • Apply ML/DL approaches to RF problems.
  • Implement research prototypes in Python, C, C++, Java, etc.
  • Integrate and test algorithms on SDR platforms (USRP-class) using GNU Radio.
  • Produce technical artifacts and contribute to publications/patents.

Skills

RFML
DSP
SDR
Python
C/C++
SCIF
DoD Engagement
Communication

Education

Bachelor’s degree
Master’s degree
Ph.D.

Tools

GNU Radio
UHD
SDR drivers

Job description

Peraton Labs in Maryland seeks a Principal RF Research Scientist to lead cutting-edge R&D in RFML, DSP, and SDR, driving prototypes from concept to demonstration. This on-site role collaborates with our government customer to shape new work through whitepapers and technical leadership.

This role requires full-time on-site work at a customer site near College Park, MD, with a strong background in RF fundamentals, ML, and distributed teams.

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