Nvidia Internship Recruitment 2024: Nvidia is an American multinational company known for graphics processing units (GPUs) that power graphics and AI-intensive applications. Currently, Nvidia Internship Recruitment 2024 is going on, and the company is hiring for interns for the post of Deep Learning Accelerator. The salary you will get is up to ₹9 LPA. This internship opportunity is for the Bengaluru location, and last year’s recently graduated students can apply for this amazing Nvidia internship recruitment 2024.
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About Nvidia
Technology business Nvidia is well-known for its graphics processing units (GPUs), which drive apps with a lot of graphics and artificial intelligence. With their high-performance GPUs for gamers, they are a major force in the gaming sector. Additionally, a lot of artificial intelligence (AI) apps employ GPUs from Nvidia, which helps progress areas like deep learning and driverless cars. The company’s ideas continue to change the landscape of visual computing, and it has a big impact on both gaming and cutting edge technologies. Currently, Nvidia is hiring interns for deep learning accelerator.
Nvidia Internship Recruitment 2024
| Company Name | Nvidia |
| Post Name | Deep Learning Accelerator |
| Salary | Up to ₹9 LPA |
| Qualification | Graduation |
| Branch | CS or Any Related Branch |
| Batch | 2023/24 |
| Experience | Fresher |
| Job Location | Bangalore |
| Last Date | ASAP |
Key Responsibilities:
- Create and put into use algorithms for deep learning systems software and compilers.
- Take the lead on small-scale research projects on your own, analyse the data, and present your findings.
- Create and keep up models for accuracy and performance.
- Apply best practices to software testing and enhancement.
- As needed, offer assistance to the embedded and automotive product teams.
Required Qualifications:
- Currently working on a B.Tech or M.Tech in E&C or computer science.
- fervent interest in AI and deep learning combined with knowledge of current scholarly developments.
- completed courses in probability theory, algorithms, deep learning, and machine learning.
- Clean solutions are preferred by this analytical thinker, who is also proficient with mathematical tools and algorithms and has a strong grasp of numerical difficulties.
- competent in Python and C/C++ programming.
- knowledge of at least one deep learning framework, such as TensorFlow, PyTorch, and ONNX.strong social abilities and a good team player.
Things that will benefit you:
- Code AI-related projects during your free time for sharing.
- Possess an academic track record and publications.
- Have experience working with embedded systems.
Google Fresher Recruitment 2024: Apply Here
Selection Process:
- Review of Resumes: preliminary screening according to credentials and expertise.
- Technical Evaluation: Assessment of coding proficiency and AI-related initiatives.
- Conversations: talks about papers, experience with embedded systems, and academic background.
- Decision on Selection: final choice based on overall aptitude and fit.
How to Apply for Nvidia Internship Recruitment 2024?
- Use the below URL to navigate to the jobs area of the Nvidia website.
- If necessary, finish the account creation or sign-up process.
- Complete the application form by entering the necessary information.
- “Apply” or “Submit” should be clicked to complete your application.
Apply Link: Click Here
FAQ
nvidia deep learning accelerator internship salary?
The Salary of Deep Learning Accelerator Intern at Nvidia is up to ₹9 LPA.
What is it like to work at NVIDIA as an intern?
Internships at NVIDIA provide invaluable practical experience with cutting-edge technology in a vibrant, innovative setting. Collaborate with industry professionals, add value to worthwhile initiatives, and interact with influential people. The welcoming and encouraging culture at NVIDIA creates a favourable learning environment where interns may develop their abilities.
what is required qualification to apply for Deep Learning Accelerator at Nvidia?
Candidates currently pursuing an M.Tech or B.Tech in computer science or electronics and communication can apply for this Internship Position.
