PhD Intern, AI ML in Wireless L1/L2 - Fall 2026
NVIDIA Corporation (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Develop and optimize AI/ML modules for wireless Layer1/Layer2 signal processing functional blocks in NVIDIA Aerial RAN software.
- Analyze and select appropriate ML architectures for RAN functions, iteratively train and modify models to improve Over-The-Air (OTA) performance and computational efficiency.
- Collaborate with multi-functional teams including DevTech to benchmark OTA performance and optimize compute needs across NVIDIA computing platforms.
Minimum Requirements
- Currently a full-time PhD student specializing in AI and Wireless domains.
- Ability to intern for at least 6 months starting last week of January 2026.
- Strong understanding of wireless Layer1/Layer2 functions and algorithms.
- Proficiency in AI/ML techniques including Transformers and CNNs, programming skills in C/C++, and experience simulating signal processing algorithms in Matlab and Python.
Ideal Candidate Profile
- Experience analyzing and selecting ML model architectures specifically for signal processing domains.
- Exposure to real-time, latency-sensitive programming on CPU, GPU, DSP, or vector processors is advantageous though not mandatory.
- Familiarity with CUDA programming and NVIDIA GPU architectures is a strong plus.