AI Developer Technology Engineer Intern (Start ASAP)

We are now looking for an AI Developer Technology Engineer Intern. 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. 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, and 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.” Come join a team full of world-class computer scientists to work in its Compute Developer Technology team as an AI Developer Technology Engineer.

What you will be doing

• You will work and 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
• You will provide the best AI solutions using GPUs working directly with key customers
• 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 we need to see

• Pursuing an MS or PhD from a leading University in an engineering or Computer Science related discipline
• Strong knowledge of C/C++, software design, programming techniques, and AI algorithms
• Experience with parallel programming, ideally CUDA C/C++
• Good communication and organization skills, with a logical approach to problem-solving, time management, and task prioritization skills

Preferred internship duration: 6+ months