# Graduate Research Intern - Integrated Sensing and Communications (ISAC)

**Company**: NVIDIA
**Job type**: internship
**Salary**: $20 - $71 per hour
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Research-Intern--Integrated-Sensing-and-Communications--ISAC--NVIDIA-Aerial---Summer-2027_JR2028027?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_558a16db-7de

## Description

NVIDIA is seeking 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 and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed.

**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.

- 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 algorithms with the NVIDIA Aerial Testbed and run real-time, over-the-air experiments.

- Detail 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.

- Confirmed ability to build new ML 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 ability to work well in a collaborative research team.

**Preferred Qualifications:**

- PhD candidate with publications in ISAC, radar, or ML for wireless.

- Hands-on experience with real-time over-the-air wireless testbeds.

- Experience with GPU programming or acceleration.

- Familiarity with NVIDIA Aerial or NVIDIA Sionna.

- Knowledge of 3GPP 5G NR physical layer and 6G ISAC study items.

The hourly rate for this internship is $20 - $71 USD.

## Skills

### Required
- Python
- PyTorch
- AI/ML
- wireless communications
- ISAC
- radar signal processing

### Nice to have
- GPU programming
- NVIDIA Aerial
- NVIDIA Sionna
- 3GPP 5G NR physical layer
- 6G ISAC study items

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Research-Intern--Integrated-Sensing-and-Communications--ISAC--NVIDIA-Aerial---Summer-2027_JR2028027?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)