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

Location: US, CA, Santa Clara

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.