NVIDIA is inviting applications for the PhD Intern – AI/ML in Wireless L1/L2 (Spring 2026) internship in Bengaluru. This internship is ideal for PhD students working in Artificial Intelligence and Wireless Communications who want to contribute to next-generation 6G and AI-native wireless technologies.
Students searching for NVIDIA internship 2026, PhD AI internship in India, wireless communications internship Bengaluru, and AI/ML research internships can apply for this full-time research opportunity.
Company Overview – NVIDIA
NVIDIA is a global technology leader known for pioneering GPU computing and advancing AI, deep learning, and high-performance computing. The company’s innovations power AI systems, autonomous vehicles, robotics, and advanced networking solutions worldwide.
NVIDIA’s Aerial CUDA Accelerated RAN (ACAR) framework enables AI-native, cloud-native Radio Access Network (RAN) systems designed for next-generation 5G and 6G networks.
| Company Name | NVIDIA |
| Job Role | AI/ML Intern |
| Qualification | PhD |
| Job Location | Across India |
| Salary | Best Market |
| Experience | Freshers |
| Category | Off Campus Job |
| Batch | 2026, 2027 Batch |
Internship Overview
As a PhD Intern in the Aerial RAN team, you will contribute to AI-native wireless stack development focused on improving spectral and energy efficiency for future 6G systems.
You will work on integrating AI/ML techniques into Layer 1 and Layer 2 wireless functions using NVIDIA’s compute platforms.
Eligibility & Qualifications
Candidates must meet the following criteria:
• Full-time PhD student in AI, Wireless Communications, or related domains
• Available for at least 6 months
• Strong understanding of Wireless Layer 1 / Layer 2 concepts
• Strong foundation in AI/ML algorithms and architectures
• Experience with Python and MATLAB
• Programming skills in C/C++
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Key Responsibilities
Selected interns will:
• Develop and optimize AI/ML models for wireless signal processing
• Conduct literature surveys on AI/ML for RAN systems
• Identify and evaluate suitable ML architectures for RAN functions
• Benchmark over-the-air (OTA) performance improvements
• Train, test, and refine ML models for performance gains
• Collaborate with cross-functional engineering teams
Skills Required
Preferred skills include:
• Deep knowledge of Transformers, CNNs, and advanced ML architectures
• Experience in signal processing simulations
• Familiarity with CUDA and NVIDIA GPU architectures
• Knowledge of CPU, GPU, DSP architecture
• Experience with real-time or latency-sensitive systems
• Strong analytical and research mindset
Why Apply for NVIDIA Internship?
• Work on cutting-edge AI-native 6G wireless technologies
• Hands-on research experience with NVIDIA compute platforms
• Exposure to GPU-accelerated wireless systems
• Opportunity to collaborate with global AI and wireless experts
• Strong research and career growth value
How to Apply for NVIDIA Internship 2026
Interested and eligible candidates can apply using the below link through the official Google careers portal.
Apply Link: Click Here To Apply
