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PhD Intern, AI ML in Wireless L1/L2 - Fall 2026

NVIDIA· Intern
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BengaluruinternPosted 1mo ago

About the role

PhD internship at NVIDIA focusing on AI/ML integration in Wireless L1/L2 (Aerial RAN) for 6G, developing and optimizing AI/ML modules for wireless signal processing and OTA performance across CPU/GPU/DPU platforms.

Responsibilities

  • Develop and Optimize AI / ML modules for functional blocks specifically in wireless signal processing
  • Perform literature survey to understand the prior art on AI/ML for RAN
  • Analyze and identify the suitable ML architecture for the RAN functions of interest
  • Identify the right ML Architecture, complexity for each of the functional blocks
  • Collaborate with multi-functional teams to optimize the OTA performance and compute complexity with DevTech and other business units within NVIDIA
  • Benchmarking of OTA performance improvements with AI models and compute needs on different platforms
  • Iteratively train, test & modify Model Arch for performance improvements

Qualifications

  • Full time PhD student doing research in AI and Wireless domains, and able to work as an Intern for at least 6 months or more starting from last week of January 2026
  • Thorough understanding of the wireless Layer1/Layer2 functions and algorithm aspects
  • Excellent grip on AI and ML concepts, techniques and abreast of latest developments in this field
  • Deep understanding of Transformers, CNNs and other ML Architectures and their use cases
  • Hands on experience in simulating signal processing algorithms in Matlab and Python
  • Programming skills in C/C++
  • Experience in analyzing the problem, identifying the right model architectures. developing Models, Training and Optimization, preferably on signal processing domains

Skills

Required:AI/ML for wireless signal processingLiterature survey on AI/ML for RANML architecture analysis (Transformers, CNNs)Matlab/Python signal processing simulationC/C++ programming
Last updated Sep 4, 2026. Interested? Apply on the company site.

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