ISAC AI/ML Research Intern: Radar & Wireless on GPU

NVIDIA Corporation; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites a graduate research intern to advance integrated sensing and communications on GPU-accelerated platforms. You will develop ISAC algorithms in Python, build radar processing pipelines, and innovate ML models for sensing and communications.

The role blends deep algorithm work with turning ideas into working systems, in a collaborative research team. You will train with PyTorch, evaluate on simulated and real data, and contribute to publications and reports while gaining hands-on

Qualifications

• Currently enrolled in an MS or PhD program in Electrical Engineering, Computer Engineering, CS, or related field.
• Strong background in AI/ML for wireless communications.
• Solid understanding of ISAC concepts and waveforms (e.g., OFDM-based sensing).
• Hands-on experience implementing ISAC or radar algorithms in Python.
• Hands-on experience with PyTorch or TensorFlow/JAX.
• Ability to design ML architectures and formulate loss functions and optimizers.
• Knowledge of radar cube algorithms and clutter reduction techniques.
• Strong written and verbal communication for collaboration.

Responsibilities

• Develop, implement, and benchmark ISAC algorithms in Python on NVIDIA GPU platforms.
• Build radar signal processing pipelines: cube formation, range, Doppler, angle, CFAR, clutter reduction.
• Design ML model architectures for sensing and joint sensing-communications tasks and formulate losses.
• Train and evaluate models in PyTorch using simulated and over-the-air data.
• Integrate algorithms with the NVIDIA Aerial Testbed and run real-time experiments.
• Document results for publications, patents, and internal reports.

Skills

AI/ML for wireless

ISAC concepts

Python

PyTorch

ML model architectures

Team collaboration

Education

MS or PhD in Electrical Engineering / Computer Engineering / Computer Science or related field

Tools

CUDA

CuPy

NVIDIA Sionna

Job description

NVIDIA invites a graduate research intern to advance integrated sensing and communications on GPU-accelerated platforms. You will develop ISAC algorithms in Python, build radar processing pipelines, and innovate ML models for sensing and communications.

The role blends deep algorithm work with turning ideas into working systems, in a collaborative research team. You will train with PyTorch, evaluate on simulated and real data, and contribute to publications and reports while gaining hands-on