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Radio Frequency Signal Processing Engineer

Radio Frequency Signal Processing Engineer

Job Title: Radio Frequency (RF) Signal Processing Engineer – Deep Learning for Radar Systems

Position Type: Full-Time or Part-Time (Flexible for PhD Candidates)

Hourly Rate: $40/hour

About the Role:

We seek a motivated RF Engineer with expertise in deep learning applications for radar detection, phased arrays, and Active Electronically Steered Arrays (AESAs). This role is ideal for candidates passionate about merging cutting-edge AI/ML techniques with advanced radar technologies to solve complex challenges in defense surveillance systems.

Key Responsibilities:

• Design and optimize radar systems, focusing on phased array and AESA technologies.
• Develop and implement deep learning models (CNNs, RNNs, etc.) for radar signal processing, target detection, and clutter mitigation.
• Simulate and evaluate radar systems, targets, and environments using numerical simulation software including MATLAB Radar Toolbox, RadarySimPy, RadGen, and others.
• Collaborate with cross-functional teams to integrate AI-driven solutions into hardware/software platforms.
• Conduct research on emerging trends in RF systems, machine learning, and adaptive beamforming.
• Document design processes, test results, and technical reports.

Qualifications:

• Required:
• Master’s degree in Electrical Engineering, Physics, or related field.
• Strong background in RF theory, radar systems, phased arrays, and AESAs.
• Knowledge of digital signal processing (DSP) and radar cross-section (RCS) analysis.
• Preferred:
• Current PhD candidate in a relevant discipline.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch) and programming (Python, MATLAB, C++).
• Experience working with radar datasets (e.g., SAR, range-doppler maps) and AI model deployment on edge devices.
• Familiarity with GPU acceleration (CUDA) and optimization techniques for real-time systems.
• Track record of publications or projects in radar/AI integration.
• Competitive hourly rate of $40, with flexible hours for PhD candidates balancing academic commitments.
• Remote work opportunities.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Other

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Media

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