NVIDIA is offering an exciting AI ML in Wireless L1/L2 – Spring 2026 role in Bengaluru with an attractive monthly pay in the range of approximately ₹50,000–₹67,000, making it a high‑value opportunity for advanced researchers in AI and wireless communications. This internship is ideal for full‑time PhD scholars working at the intersection of AI/ML and wireless physical/MAC layers (L1/L2) who want both research impact and real‑world deployment experience.
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About NVIDIA and the Wireless AI Team
NVIDIA is a global leader in accelerated computing, AI, and high‑performance graphics, powering domains such as autonomous vehicles, data centers, gaming, and next‑generation wireless networks. The company is widely known for its GPUs and AI platforms that underpin cutting‑edge research and large‑scale industrial AI deployments.
For this internship, you will join NVIDIA’s Aerial / AI‑native wireless RAN group, which focuses on building software‑defined, cloud‑native 5G/6G radio access networks (RAN) and AI‑enhanced PHY/MAC pipelines using Aerial CUDA Accelerated RAN (ACAR). This team works on AI‑driven L1/L2 algorithms that improve spectral efficiency, energy efficiency, and over‑the‑air performance in future wireless systems.
Internship Overview and Stipend Details
The PhD Intern, AI ML in Wireless L1/L2 – Spring 2026 position is based in Bengaluru, India, and is targeted at full‑time PhD students who can commit to a longer research‑style internship. The role typically requires a minimum duration of around 6 months, starting in Spring 2026 (from late January 2026), allowing enough time to complete substantial research and prototyping work.
Compensation for similar NVIDIA PhD internships in India is estimated in the ₹6–8 LPA equivalent range, which corresponds to roughly ₹50,000–₹67,000 per month for the internship period, aligning with the high‑end PhD intern pay band in the Indian AI/wireless market. In addition to the stipend, interns gain access to NVIDIA’s research ecosystem, internal tools, and potential pathways to full‑time opportunities.
Role, Responsibilities, AI ML in Wireless L1/L2 – Spring 2026
As a PhD Intern in AI/ML for Wireless L1/L2, you will work on integrating machine learning into wireless signal‑processing chains at the physical (L1) and MAC (L2) layers. The work is research‑intensive but also geared toward deployable prototypes that can influence NVIDIA’s commercial‑grade 5G/6G stacks.
Key responsibilities typically include:
- Designing and developing AI/ML models for specific PHY/MAC functional blocks in RAN (e.g., channel estimation, scheduling, link adaptation).
- Performing literature surveys on AI‑native RAN to map prior work and state‑of‑the‑art architectures relevant to 5G/6G.
- Identifying and implementing suitable model families such as Transformers, CNNs, and other deep architectures tailored to wireless tasks.
- Simulating signal‑processing pipelines and ML models in MATLAB and Python, followed by performance benchmarking under realistic channel conditions.
- Translating promising models into latency‑aware C/C++ and GPU‑accelerated implementations, integrated with ACAR and Aerial platforms.
- Evaluating trade‑offs between over‑the‑air performance gains and compute complexity across NVIDIA CPU/GPU/DPU systems.
This role offers a rare mix of publishable research and system‑level engineering, ideal for PhD students who want their work to appear in both top conferences and real‑world products.
Eligibility, Required Skills, and Preferred Background
NVIDIA targets full‑time PhD students already focused on AI, wireless communications, or signal processing for this internship. The ideal candidate profile blends strong wireless fundamentals with hands‑on ML and systems skills.
Core eligibility and required skills:
- Active PhD enrollment in areas such as Wireless Communications, Signal Processing, AI/ML, or closely related fields.
- Ability to commit to at least 6 months starting in Spring 2026 (around late January).
- Strong understanding of wireless L1/L2 algorithms, including PHY and MAC layer functions.
- Solid knowledge of machine learning and deep learning, including optimization, generalization, and familiarity with modern architectures like CNNs and Transformers.
- Practical experience with MATLAB and Python for simulating wireless and ML models.
- Proficiency in C/C++ for performance‑critical code and low‑latency implementations.
- Awareness of CPU, DSP, and GPU architectures, including memory and I/O behavior.
- Experience with real‑time, multi‑threaded software or latency‑sensitive systems.
- Familiarity with CUDA programming and NVIDIA GPU platforms.
- Prior research or project work in AI for signal processing, RAN functions, or wireless simulations.
Candidates with this combination of wireless theory, ML expertise, and systems thinking are especially competitive for the role.
Application Process
To apply for the PhD Intern, AI ML in Wireless L1/L2 – Spring 2026 role, candidates should use NVIDIA’s official careers and university recruiting portals. The position is typically listed under NVIDIA’s India opportunities with the title “PhD Intern, AI ML in Wireless L1/L2 – Spring 2026, Bengaluru”.
Application steps (typical flow):
- Visit NVIDIA’s careers or university recruiting page and search for the PhD Intern, AI ML in Wireless L1/L2 – Spring 2026 posting in India.
- Prepare a research‑focused CV that highlights wireless communication projects, AI/ML work, publications, conference papers, and tools like MATLAB, Python, PyTorch/TF, and C/C++.
- Tailor your cover letter to emphasize interest in AI for RAN, 5G/6G, PHY/MAC expertise, and experience with NVIDIA‑style platforms.
- Apply early, as advanced research internships are often filled on a rolling basis, and early applicants may receive priority.
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To strengthen your profile, showcase end‑to‑end projects where you designed or improved wireless algorithms using deep learning and provide links to GitHub, code repositories, or preprints where possible.
How to Apply?
If you are an Interested Candidate, you can apply for the NVIDIA is Offering a PhD Intern, AI ML in Wireless L1/L2 – Spring 2026 [₹50K – ₹67K/month] Apply! Click Here.