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

$0k - $0k • US, CA, Santa Clara

Posted 2d ago

Job Location

US, CA, Santa Clara

Tech Stack

Remote Work Policy

On-site

Categories

Machine Learning Engineer

About the job

NVIDIA is seeking a graduate research intern to advance integrated sensing and communications (ISAC) on GPU-accelerated platforms. The intern will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed. This role is ideal for a student passionate about deep algorithm work and translating ideas into functional systems.

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 corresponding loss functions and optimization objectives.
  • Train and evaluate models in PyTorch using simulated and over-the-air captured data.
  • Integrate algorithms with the NVIDIA Aerial Testbed and conduct real-time, over-the-air experiments.
  • Document 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 (e.g., TensorFlow or JAX).
  • Ability to build new ML model architectures and formulate optimization and loss functions.
  • Knowledge of ISAC signal processing aspects, including radar cube algorithms and clutter reduction techniques.
  • Strong communication skills and ability to work well in a collaborative research team.

Benefits

  • Intern hourly rates based on position, location, year in school, degree, and experience.
  • Eligibility for Intern benefits.

About nvidia

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.