Senior SDR Engineer: Real-Time RF on USRP Platforms

Leidos

Arlington (VA)

On-site

USD 108,000 - 195,000

Full time

4 days ago
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Job summary

Leidos in Arlington, VA seeks an experienced SDR Engineer to design, develop, and deploy high-performance SDR systems using Ettus USRP platforms. You will work on real-time RF signal processing, low-latency streaming, and hardware/software integration close to the SDR hardware layer.

The role requires strong C++ and Python skills, Linux performance optimization, and experience with UHD APIs. You will collaborate across RF front ends, FPGA interfaces, and network transports in a fast-paced EW

Qualifications

  • Candidates must have hands-on experience with Ettus USRP platforms (X310/X410, N320/N321, X440, B-Series).
  • Experience developing SDR applications in C++ and Python with real-time constraints.
  • Strong Linux performance optimization and multithreaded architectures.

Responsibilities

  • Design, develop, and deploy advanced SDR systems using Ettus USRP hardware.
  • Develop high-performance SDR applications using C++ and UHD.
  • Implement and optimize real-time DSP pipelines and RF streaming architectures.
  • Interface with FPGA-based SDR architectures and high-speed Ethernet transport.
  • Perform RF system integration, testing, calibration, and troubleshooting.

Skills

Modern C++
Python
Linux systems programming
Multithreaded software architectures
Real-time DSP
High-performance SDR concepts
Networking/Socket programming
RF fundamentals

Education

Bachelor’s degree in Electrical Engineering
Bachelor’s degree in Computer Engineering
Bachelor’s degree in Computer Science
Bachelor’s degree in Related technical discipline

Tools

UHD API
Ettus USRP hardware
Red Hat Linux

Job description

Leidos in Arlington, VA seeks an experienced SDR Engineer to design, develop, and deploy high-performance SDR systems using Ettus USRP platforms. You will work on real-time RF signal processing, low-latency streaming, and hardware/software integration close to the SDR hardware layer.

The role requires strong C++ and Python skills, Linux performance optimization, and experience with UHD APIs. You will collaborate across RF front ends, FPGA interfaces, and network transports in a fast-paced EW

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