Applied Research Intern, Integrated Sensing and Communications

Nvidia

Confirmed live today High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Closes
Oct 31, 2026 (soon)

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

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TL;DR · Applied Research Intern, Integrated Sensing and Communications

JOB TITLE: Applied Research Intern, Integrated Sensing and Communications (ISAC)-NVIDIA Aerial - Summer 2027 As an Applied Research Intern, you will join the team building AI-native wireless systems to advance integrated sensing and communications on GPU-accelerated platforms. You will develop, implement, and benchmark ISAC algorithms in Python, specifically building radar signal processing pipelines for radar cube formation, range and Doppler processing, angle estimation, CFAR detection, and clutter suppression. Your responsibilities include composing new ML model architectures for sensing and joint sensing-communications tasks, formulating loss functions, and training models in PyTorch using simulated and over-the-air data. You will integrate these algorithms with the NVIDIA Aerial Testbed to run real-time experiments. The role requires expertise in AI/ML for wireless communications, OFDM-based sensing, and signal processing techniques like MTI and adaptive filtering.

What you'll do

  • Develop, implement, and benchmark ISAC algorithms in Python on NVIDIA GPU platforms.
  • Build radar signal processing pipelines including range/Doppler processing, angle estimation, and clutter suppression.
  • Compose new ML model architectures for sensing and joint sensing-communications tasks.
  • Formulate corresponding loss functions and optimization objectives for sensing models.
  • 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 results for publications, patents, and internal technical reports.

What we're looking for

  • 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 like TensorFlow or JAX.
  • 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.
  • PhD candidate with publications in ISAC, radar, or ML for wireless (preferred).

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