2026 PhD DSP and ML Engineer Intern
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The role
You will contribute to high-performance, low-cost digital front-end (DFE) RF designs for 5G/6G base stations using RFSoC and Versal components.
Model Tx/Rx RF behavior in MATLAB to capture amplifier nonlinearities with advanced ML algorithms.
Explore and implement network architectures for training and inference engines to accelerate RF system design.
Collaborate with a team of experienced engineers, translating results into actionable insights and design improvements.
Work in a full-time, onsite schedule (40 hours/week) from May 18, 2026 to August 7, 2026 in San Jose, CA.
This role emphasizes hands-on experimentation, rigorous analysis, and clear communication of findings.
Model Tx/Rx RF behavior in MATLAB to capture amplifier nonlinearities with advanced ML algorithms.
Explore and implement network architectures for training and inference engines to accelerate RF system design.
Collaborate with a team of experienced engineers, translating results into actionable insights and design improvements.
Work in a full-time, onsite schedule (40 hours/week) from May 18, 2026 to August 7, 2026 in San Jose, CA.
This role emphasizes hands-on experimentation, rigorous analysis, and clear communication of findings.
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