PhD Intern, AI ML in Wireless L1/L2 - Fall 2026
NVIDIA
PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 at NVIDIA is a full time role based in Bengaluru, India. It was published on 31 August 2026 and was open at last check.
| Role | PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 |
|---|---|
| Company | NVIDIA |
| Location | Bengaluru, India |
| Employment type | Full Time |
| Published | 31 August 2026 |
| Status | Open at last check |
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join NVIDIA.
NVIDIA Aerial CUDA Accelerated RAN (ACAR) is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems, which will drive our AI native 6G solutions. We are seeking a self-motivated Intern to drive the adoption of AI/ML functions in the Phy and Mac layers of our Aerial SW. This position offers the opportunity to work on cutting-edge technology, using NVIDIA's world-class compute platforms to advance the field of AI native wireless stack to achieve the Spectral and Energy efficiency goals of 6G!
What you'll be doing:
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
- 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
Ways to stand out from the crowd:
- Knowledge of CPU, DSP or GPU architecture, as well as memory, I/O and networking interfaces.
- Experience with programming latency sensitive, real-time, multi-threaded applications on CPUs and one or more of GPUs or DSPs or Vector processors.
- Appetite to learn the details of how next generations of GPU will operate and build an outstanding Software-Radio 5G/6G stack that can fully demonstrate their power.
- Familiarity with CUDA programming and NVIDIA GPU Architectures
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Create your free OnJob profile to apply — we'll take you to NVIDIA's application after sign-up. · Posted 31 Aug 2026.
PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 at NVIDIA — questions answered
What does the PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 role at NVIDIA pay?
NVIDIA does not publish a salary on this PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 role at NVIDIA based?
NVIDIA lists this PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 role in Bengaluru, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with NVIDIA before you apply.
Is the PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 role at NVIDIA still open?
The PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 posting at NVIDIA was open at OnJob's last check of the employer's careers page, having been published on 31 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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