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

NVIDIA is hiring an Applied Research Intern, Integrated Sensing and Communications (ISAC)-NVIDIA Aerial - Summer 2027 in Santa Clara, United States. It pays $20-$71/hr and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and JAX among its tools and skills.
Level classes it as an internship.
NVIDIA has 2,700+ other open roles on Level.
Posted within the past week.

AI in this role

Develop and benchmark AI-native wireless and ISAC algorithms on GPU-accelerated platforms as a graduate intern.

pytorchtensorflowjaxpythonnvidia-aerial

machine-learningwireless-communicationsradar-signal-processingisacalgorithms

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.

How we rate this

Applied Research Intern, Integrated Sensing and Communications (ISAC)-NVIDIA Aerial - Summer 2027 at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Applied Research Intern, Integrated Sensing and Communications (ISAC)-NVIDIA Aerial - Summer 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed pay is $20-$71/hr.
The role is based in US, CA, Santa Clara.
The job was posted on October 20, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningWireless CommunicationsRadar Signal ProcessingIsacAlgorithmsPyTorchTensorFlowJAX

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where wireless communications was part of your work. What did you do?
Tell me about a project where radar signal processing was part of your work. What did you do?
Tell me about a project where isac was part of your work. What did you do?
Tell me about a project where algorithms was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Wireless Communications, Radar Signal Processing, Isac, and Algorithms. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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