Accelerated Computing Research Intern

NVIDIA is searching for talented interns at the bachelor, master, or PhD level to join our growing software architecture team. The ideal candidates will be conducting innovative research at the intersection of Networking, Security, and Communications, and working alongside top authorities in these fields. With incredible resources at your disposal, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

DPU Data-Processing Units are the smallest form of a data center, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard GPUs and acceleration engines. Join us to research next-generation accelerated data-center architectures during your internship with NVIDIA.

What you'll be doing:

• Be at the forefront of modern data center research
• Partner and collaborate with forward-thinking industry leaders and external researchers
• Participate and speak at conferences and events
• Publish original research
• Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

What we need to see:

• Currently pursuing a degree in Electrical Engineering, Computer Science, Computer Engineering, Math, Physics, Statistics, or a related field (bachelor, master, or PhD level)
• General computer science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture
• Strong programming (C/C++/Python) and software development skills
• Track record of technical excellence through coursework, projects, publications, or public repositories
• Good communication skills

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Networking Research Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.