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

Responsibilities

• As a member of Aerial RAN team working on AI Native stacks, you will be contributing to
• 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
• What we need to see
• Full time PhD student doing research in the fields of 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

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