NVIDIA has officially opened applications for its PhD Intern – AI/ML in Wireless L1/L2 (Spring 2026) role in India. This opportunity is part of NVIDIA’s advanced research hiring and is ideal for full-time PhD students working in AI, Machine Learning, and Wireless Communication domains.
The NVIDIA Internship 2026 offers hands-on exposure to next-generation 5G and 6G wireless technologies, AI-native Radio Access Networks (RAN), and GPU-accelerated computing platforms. Candidates selected for this role will work with NVIDIA’s Aerial RAN team, contributing directly to cutting-edge AI-driven wireless systems.
This internship is a strong career milestone for researchers aiming to work at the intersection of AI, signal processing, and next-generation wireless networks.
Nvidia Hiring for PhD Intern 2026
| Details | Information |
|---|---|
| Company Name | NVIDIA |
| Job Role | PhD Intern – AI ML in Wireless L1/L2 |
| Qualification | Ongoing PhD (AI / ML / Wireless Domains) |
| Experience | Research-based (PhD Level) |
| Location | Bengaluru, India |
| Internship Duration | 6 Months or More |
| Salary / Stipend | ₹80,000 – ₹1,50,000 per month (Expected) |
Job Overview
The PhD Intern – AI ML in Wireless L1/L2 role is a full-time research internship based in Bengaluru, India, starting in January 2026. The position is part of NVIDIA’s Aerial CUDA Accelerated RAN (ACAR) initiative, which focuses on building AI-native, cloud-native 5G and 6G wireless stacks using NVIDIA CPU, GPU, and DPU platforms.
Interns will work on integrating AI and ML models into Physical (L1) and MAC (L2) layers of wireless systems to improve spectral efficiency, energy efficiency, and over-the-air (OTA) performance.
This internship requires a minimum commitment of 6 months and is open only to active PhD scholars.
Key Responsibilities
As a PhD Intern at NVIDIA, you will be deeply involved in research and development activities related to AI-powered wireless systems. Your responsibilities will include:
- Developing and optimizing AI/ML models for wireless signal processing functions.
- Conducting literature surveys on AI/ML techniques applied to RAN and wireless systems.
- Analyzing wireless L1/L2 algorithms to identify suitable ML architectures.
- Designing and evaluating ML model complexity for different functional blocks.
- Collaborating with cross-functional NVIDIA teams to optimize OTA performance.
- Benchmarking AI model performance across different hardware platforms.
- Iteratively training, testing, and refining models to improve efficiency and accuracy.
This role combines theoretical research with hands-on implementation on NVIDIA’s advanced compute platforms.
Skills Required
To be eligible for the NVIDIA PhD Internship 2026, candidates should meet the following requirements:
- Full-time PhD student in AI, ML, Wireless Communications, or related fields.
- Strong understanding of Wireless Layer 1 and Layer 2 concepts.
- In-depth knowledge of AI and Machine Learning techniques.
- Hands-on experience with Transformers, CNNs, and modern ML architectures.
- Experience in Matlab and Python for signal processing simulations.
- Proficiency in C/C++ programming.
- Experience in ML model development, training, optimization, and evaluation.
Candidates with a strong research mindset and problem-solving abilities will be preferred.
Why Join NVIDIA
NVIDIA offers a unique environment where research meets real-world impact. Here’s why this internship stands out:
- Work on 6G and AI-Native Wireless Systems used by future networks.
- Access to world-class GPUs and compute platforms.
- Collaboration with top researchers and engineers globally.
- Exposure to production-grade AI and wireless system design.
- Strong brand value and future full-time career opportunities at NVIDIA.
NVIDIA encourages creativity, autonomy, and deep technical exploration, making it an ideal place for PhD researchers.
Salary Details
The NVIDIA PhD Internship offers a highly competitive stipend compared to industry standards in India. Selected interns can expect a monthly stipend ranging from ₹80,000 to ₹1,50,000, depending on research experience, skill set, and project alignment.
In addition to the stipend, interns gain invaluable exposure to NVIDIA’s research ecosystem, significantly enhancing long-term career prospects.
Hiring Location
This role is based in Bengaluru, India, NVIDIA’s primary research and development hub in the country. The location provides access to NVIDIA’s advanced labs, cross-functional engineering teams, and a vibrant research culture.
How to Apply
Interested and eligible candidates can apply through NVIDIA’s official careers website by following these steps:
- Visit the NVIDIA Careers Portal.
- Search for “PhD Intern, AI ML in Wireless L1/L2 – Spring 2026.”
- Review the job description and eligibility criteria carefully.
- Click Apply and submit your updated resume and academic details.
- Shortlisted candidates will be contacted for technical discussions and interviews.
Early application is recommended due to high competition.
NVIDIA Apply Link : Click here
About NVIDIA
Founded in 1993, NVIDIA is a global leader in visual computing, artificial intelligence, and accelerated computing. Best known for inventing the Graphics Processing Unit (GPU), NVIDIA has transformed industries ranging from gaming and data centers to autonomous vehicles, robotics, and wireless communication.
Today, NVIDIA’s technologies power deep learning models, AI-driven robots, self-driving cars, and advanced cloud-native systems. With a strong focus on research and innovation, NVIDIA is consistently ranked among the world’s most desirable technology employers.
