RF DSP & SDR Engineer for Defense Systems (TS/SCI)

Great Bay Staffing Group

Tucson (AZ)

On-site

USD 140,000 - 175,000

Full time

40 hours ago
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Job summary

Great Bay Staffing Group is seeking a DSP Engineer with expertise in RF signal processing and Software Defined Radio (SDR) to support critical intelligence and defense projects. The role involves real-time signal processing, wireless protocol analysis, and development of prototype SDR systems.

The candidate must hold an active TS/SCI clearance and demonstrate autonomy in solving complex RF challenges. Proficiency in C/C++ and Python, plus Linux experience, is required for high-performance

Qualifications

  • Must have active TS/SCI clearance.
  • Bachelor's degree or higher in a related technical field.
  • Experience developing DSP/RF signal processing solutions.

Responsibilities

  • Design, develop, and implement RF signal processing solutions for intelligence/defense applications.
  • Perform advanced DSP including detection, estimation, and demodulation of wireless protocols.
  • Develop SDR-based real-time systems and prototypes.
  • Write high-performance C/C++ and Python code for Linux platforms.
  • Analyze wireless air interface protocols and digital communications.
  • Collaborate with distributed teams from concept to deployment.
  • Utilize Git for version control and development workflows.
  • Document designs, algorithms, and architectures clearly.

Skills

C/C++ programming
Python programming
Digital signal processing
RF signal processing
Software Defined Radio
Git

Education

Bachelor's degree or higher in Electrical Engineering/CS/Math

Tools

XMIDAS

Job description

Great Bay Staffing Group is seeking a DSP Engineer with expertise in RF signal processing and Software Defined Radio (SDR) to support critical intelligence and defense projects. The role involves real-time signal processing, wireless protocol analysis, and development of prototype SDR systems.

The candidate must hold an active TS/SCI clearance and demonstrate autonomy in solving complex RF challenges. Proficiency in C/C++ and Python, plus Linux experience, is required for high-performance

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