Applied Research Intern, Integrated Sensing and Communications (ISAC) - NVIDIA Aerial - Summer 2027

Details

NVIDIA is looking for a graduate research intern to help advance integrated sensing and communications (ISAC) on NVIDIA GPU-accelerated platforms. The intern will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed, which combines NVIDIA's GPU-accelerated 5G/6G software stack with real over-the-air radios.

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, such as MTI, static clutter removal, and adaptive filtering.
• Compose new machine learning model architectures for sensing and joint sensing-communications tasks, and formulate corresponding loss functions and optimization objectives.
• Train and evaluate models in PyTorch using simulated data and data captured over the air.
• Integrate algorithms with the NVIDIA Aerial Testbed and run real-time, over-the-air experiments.
• Document 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, such as TensorFlow or JAX.
• Ability to build new machine learning 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 the ability to work well in a collaborative research team.

Preferred Qualifications

• PhD candidacy with publications in ISAC, radar, or machine learning for wireless communications.
• Hands-on experience with real-time over-the-air wireless testbeds, such as software-defined radios including USRP, or 5G testbeds.
• Experience with GPU programming or acceleration, including CUDA or CuPy.
• Familiarity with NVIDIA Aerial, including CUDA-Accelerated RAN and Aerial Omniverse Digital Twin, or NVIDIA Sionna.
• Knowledge of the 3GPP 5G NR physical layer and 6G ISAC study items.

Compensation and Benefits

The internship hourly rate is USD 20–71, based on the position, location, year in school, degree, and experience. Intern benefits are also provided.

Applications for this job will be accepted at least until October 24, 2026. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.