Nvidia offers a Developer Technology Internship as an opportunity to join the outstanding Computer Scientists at NVIDIA. The intern will join the Computer Developer Technology team and pursue the works in AI.

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Moreover, Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films.

Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.”

What will a Developer Technology Intern do?

• Study as well as develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
• Further, provide the best AI solutions using GPUs working directly with key customers
• Also, collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

What do you need to apply for the Developer Technology Internship at Nvidia?

• Currently pursuing an MS or PhD from a leading University in an engineering or Computer Science related discipline
• Likewise, you’ll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
• Furthermore, experience with parallel programming, ideally CUDA C/C++
• Also, excellent communication and organization skills, with a logical approach to problem-solving, time management, and task prioritization skills

How To apply for the Nvidia Internship?

Applying for Nvidia Internship is an easy process. You can become an Nvidia intern by simply dropping off a CV for the position you have your eye on. Further, the internship position doesn’t require you to have prior working experience. Hence, you may apply if you meet the above criteria.

Here is a step-by-step procedure to guide you through the application process for the Nvidia Internship:

1. At first, you will need to search for an internship position (Developer in this case) at Nvidia Career Site.
2. Next, you will require an outstanding resume. So dress your resume to impress.
3. After you find an internship position you wish to apply for, you can do so by applying online. Making online application at Nvidia will need you to provide your personal information.
4. Upload your CV, and relevant documentation (work experience if possible)
5. Submit your application and you are good to go.