About the role#
NVIDIA is looking for a graduate research intern to advance integrated sensing and communications (ISAC) on GPU-accelerated platforms. You will join a team building AI-native wireless systems and work on the NVIDIA Aerial Testbed. This position is for a student who enjoys both deep algorithm research and turning ideas into working systems using our GPU-accelerated 5G/6G software stack and real over-the-air radios.
What you'll do#
- 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, and clutter suppression.
- Compose new machine learning model architectures for sensing and joint sensing-communications tasks.
- Formulate corresponding loss functions and optimization objectives.
- Train and evaluate models in PyTorch using simulated and over-the-air data.
- Integrate algorithms with the NVIDIA Aerial Testbed to run real-time experiments.
- Document your results and contribute to publications, patents, and internal technical reports.
What you'll need#
- Current enrollment in an MS or PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- A strong background in AI and machine learning for wireless communications.
- A solid understanding of ISAC concepts and waveforms, such as OFDM-based sensing.
- Hands-on experience implementing ISAC or radar algorithms in Python.
- Experience with PyTorch or another machine learning framework.
- 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 the ability to work in a collaborative research team.
- Preference is given to PhD candidates with relevant publications, experience with real-time wireless testbeds, GPU programming skills, or familiarity with NVIDIA Aerial, NVIDIA Sionna, and 3GPP 5G NR physical layer standards.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Type: Full-time, on-site internship.
- This role is paid and does not offer visa sponsorship.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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