Research Software Student, AI and GPU Networking

Responsibilities

• 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

Additional Information

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.

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