AI/ISAC Research Intern - GPU-Accelerated Wireless

NVIDIA Corporation; Santa Clara (CA); On-site; USD 28,000 - 98,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a graduate research intern to advance ISAC on GPU-accelerated platforms. You will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed, combining 5G/6G software with real radios.

You will develop ISAC algorithms in Python, build radar processing pipelines, and train models with PyTorch on simulated and OTA data, integrating with the testbed and contributing to

Qualifications

• 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 (TensorFlow or JAX).
• Confirmed ability to build new ML model architectures and formulate optimization and loss functions.
• Knowledge of the signal processing aspects of ISAC, including radar cube algorithms and clutter reduction techniques.
• Strong communication skills and the ability to work well in a collaborative research team.

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 your algorithms with the NVIDIA Aerial Testbed and run real-time, over-the-air experiments.
• Detail your results and contribute to publications, patents, and internal technical reports.

Skills

Python

PyTorch

AI/ML for wireless

ISAC concepts

Radar signal processing

CUDA / GPU programming

Education

MS or PhD in Electrical Engineering/Computer Engineering/Computer Science

Tools

TensorFlow

JAX

CUDA

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a graduate research intern to advance ISAC on GPU-accelerated platforms. You will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed, combining 5G/6G software with real radios.

You will develop ISAC algorithms in Python, build radar processing pipelines, and train models with PyTorch on simulated and OTA data, integrating with the testbed and contributing to