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Radio Frequency Signal Processing Engineer
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Job Description
- Req#: 32472317410
- 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.
- 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.
Job Title: Radio Frequency (RF) Signal Processing Engineer – Deep Learning for Radar Systems
Location: Remote / San Francisco
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:
Qualifications:
Compensation & Benefits:
About the company
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