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Solution Architecture Intern, AI in Industry - 2026

NVIDIA · Beijing, China

Information Technology Infrastructure & Support Full-time Posted 4 days ago

About this role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work

Come join the team and see how you can make a lasting impact on the world. Join NVIDIA, a groundbreaking leader in AI computing and visual technologies, at the forefront of innovation. As an AI in Industry Solution Architecture Intern, you'll be integral to our mission of redefining industries through AI and HPC

Our Solution Architect team builds innovative AI computing platforms, analyzes applications, and delivers outstanding value to our customers. This role offers a remarkable opportunity to harness NVIDIA's newest technologies to optimize large models, develop sophisticated AI workflows, and empower our clients with advanced AI solutions. What you will be doing: Provide technical support to internal developers and external customers, facilitating the adoption and implementation of NVIDIA technologies and products

Apply your experience and knowledge in areas of accelerated computing and machine learning. Design and implement optimization of various AI models or business scenarios. Setup model training or inference, identify the bottlenecks and verify the ways to improve model efficiency

Conduct surveys and experiments on learning models and to consolidate guidelines and relevant papers. What we need to see: Pursuing a Bachelor or Master in Computer Science, AI, or a related field; Or candidates pursuing a PhD in ML Infra or data systems for ML. Can w

Apply for this role on NVIDIA’s official careers site.

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