PhD Intern, AI ML in Wireless L1/L2 - Spring 2026
NVIDIA(2 months ago)
About this role
An Intern position on NVIDIA’s Aerial CUDA Accelerated RAN (ACAR) team focused on advancing AI-native wireless stacks for next-generation (6G) systems. The role centers on driving adoption of AI/ML within PHY and MAC layers using NVIDIA CPU/GPU/DPU platforms. This opportunity is aimed at PhD students and involves research-oriented development to improve spectral and energy efficiency of wireless systems.
Required Skills
- AI
- Machine Learning
- Signal Processing
- Transformers
- CNNs
- MATLAB
- Python
- C++
- CUDA
- GPU Architecture
+2 more
Qualifications
- PhD Student
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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