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

NVIDIA is looking for 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, as well as develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed, which combines our GPU-accelerated 5G/6G software stack with real over-the-air radios. This role suits a student who enjoys both deep algorithm work and turning ideas into working systems.

What you’ll be doing:

• 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 (for example MTI, static clutter removal, and adaptive filtering).
• 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.

What we need to see:

• 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 (for example 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.

Ways to stand out from the crowd:

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

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until October 24, 2026.

This posting is for an existing vacancy.