The candidate must be pursuing a MS or PhD in an engineering or Computer Science related discipline, have strong knowledge of C/C++, software development, programming techniques, and AI algorithms, experience with parallel programming and performance optimizations, and possess excellent communication and organization skills. Experience with training Deep Learning models, knowledge of programming and debugging software systems at scale, and familiarity with low-precision arithmetic are desirable.

The candidate will study and develop advanced deep learning and machine learning techniques, analyze and optimize performance, and collaborate with various teams to influence the design of future architectures and software platforms at NVIDIA.

Software Engineering

United States

San Francisco

Large

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Manufacturing & Electronics

NVIDIA

<ul><li>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. Large Language Models are powering many experiences across advanced chatbots, content generation for email responses, story generation for characters, marketing content, and more. This is truly an extraordinary time — the era of AI has begun. Generative AI, image recognition, and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason, create and solve problems.&nbsp;</li><li>Developer Technology team at NVIDIA plays a pivotal role in extracting maximum performance from our computing platform which enables researchers to develop and productize these state-of-the-art technologies. Do you share our passion for Artificial Intelligence? Come join a team full of outstanding engineers to work on the AI Developer Technology team.</li></ul>

Currently Studying

Masters

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. Large Language Models are powering many experiences across advanced chatbots, content generation for email responses, story generation for characters, marketing content, and more. This is truly an extraordinary time — the era of AI has begun. Generative AI, image recognition, and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason, create and solve problems. Developer Technology team at NVIDIA plays a pivotal role in extracting maximum performance from our computing platform which enables researchers to develop and productize these state-of-the-art technologies. Do you share our passion for Artificial Intelligence? Come join a team full of outstanding engineers to work on the AI Developer Technology team.

Developer Technology Intern, AI - Summer 2024

Requirements

Responsibilities

NVIDIA

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