Graduate Research Intern - Integrated Sensing and Communications (ISAC)

NVIDIA is seeking a graduate research intern to help advance integrated sensing and communications (ISAC) on NVIDIA GPU-accelerated platforms.

The right person will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed.

Responsibilities:

• Develop, implement, and benchmark ISAC algorithms in Python on NVIDIA GPU platforms.
• Build radar signal processing pipelines, including radar cube formation, range and Doppler processing, angle estimation, CFAR detection, and clutter suppression.
• Compose new ML model architectures for sensing and joint sensing-communications tasks, and formulate the corresponding loss functions and optimization objectives.
• Train and evaluate models in PyTorch using both simulated data and data captured over the air.
• Integrate algorithms with the NVIDIA Aerial Testbed and run real-time, over-the-air experiments.
• Detail results and contribute to publications, patents, and internal technical reports.

Requirements:

• Currently enrolled in an MS or PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Strong background in AI/ML for wireless communications.
• Solid understanding of ISAC concepts and waveforms, such as OFDM-based sensing.
• Hands-on experience implementing ISAC or radar algorithms in Python.
• Hands-on experience with PyTorch or another machine learning framework.
• Confirmed ability to build new ML model architectures and formulate optimization and loss functions.
• Knowledge of signal processing aspects of ISAC, including radar cube algorithms and clutter reduction techniques.
• Strong communication skills and ability to work well in a collaborative research team.

Preferred Qualifications:

• PhD candidate with publications in ISAC, radar, or ML for wireless.
• Hands-on experience with real-time over-the-air wireless testbeds.
• Experience with GPU programming or acceleration.
• Familiarity with NVIDIA Aerial or NVIDIA Sionna.
• Knowledge of 3GPP 5G NR physical layer and 6G ISAC study items.

The hourly rate for this internship is $20 - $71 USD.