Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 days ago

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

NVIDIA2,576 open roles

Where
US, CA, Santa Clara
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowApplied Research Intern, Integrated Sensing and Communications (ISAC)-NVIDIA Aerial - Summer 2027NVIDIA · US, CA, Santa Clara

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NVIDIA's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market. NVIDIA postings stay open a median of 39 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 2 days ago

NVIDIA median: 39 days open

The posting

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against NVIDIA's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on NVIDIA's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    NVIDIA's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.