Research Software Student, AI and GPU Networking

NVIDIA is searching for world-class interns to join our growing software architecture Research team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

What you’ll be doing:

Develop NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL
Develop novel HW architecture models and SDKs for them
Simulations ranging from specific components to complete data center environments
Designing and implementing services, runtime systems, and applications over SDK
Evaluate and optimize application performance
Partner and collaborate with other forward-thinking team members and external researchers
Participate and speak at conferences and events
Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

What we need to see:

Student for BSc/MSc/PhD in Electrical Engineering, Computer Science/Engineering, or a related field
Knowledge in networking, operating systems, accelerator programming, systems and AI training and inference
Track record of research excellence
Good communications skills
Please include your internship availability in your application

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 Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.