Nvidia Off Campus 2026 for the Intern. Students from various disciplines can apply for Nvidia Recruitment 2026. The detailed eligibility, Requirements, Salary, and application process are given below.
About Company:
NVIDIA Corporation is a leading American tech giant, famous for pioneering Graphics Processing Units (GPUs) that ignited PC gaming and now power modern AI, data centers, and autonomous vehicles, transforming industries from healthcare to finance with accelerated computing. Founded in 1993 by Jensen Huang (CEO), Chris Malachowsky, and Curtis Priem, it evolved from a graphics chip designer to a full-stack infrastructure provider, becoming one of the world’s most valuable companies by delivering AI-driven solutions and platforms like CUDA and Omniverse, impacting everything from ChatGPT to digital twins.
Nvidia Off Campus Drive 2026:
| Organization | Nvidia |
| Job Title | PhD Intern |
| Salary | up to 5 LPA |
| Location | Bengaluru |
| Job Type | Full time |
| Experience | Freshers |
| Batch | 2021/2022/2023/2024/2025 |
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Off Campus Job Description:
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
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Skills:
- 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
Nvidia Off Campus Qualification:
- 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
Nvidia Selection Process:
- Resume Screening
- Initial Interview
- Technical Assessment
- Panel Interview
- Behavioural Interview
- Final Interview
- Reference Check
- Job Offer
How to Apply for Nvidia Off Campus Drive 2026?
- First, read through all of the job details on this page carefully.
- Scroll down and press the Click Here button.
- You will be redirected to the official website, click on the apply link.
- Fill in the details with the information provided.
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Important Note:
Please read the job instructions and requirements carefully before applying. If your Resume / CV is shortlisted, you will receive all communications from the organization via your registered email address. Keep checking your inbox and even the spam mail for the next round once your Resume has been shortlisted.
