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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 in a unique PhD program with NVIDIA partnership. The program is 36 months long and it includes enrollment in a PhD program at one of our partner Universities.
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:
Must hold a Master’s in Electrical Engineering, Computer Science or Computer Engineering,Math/Physics/Statisticsor a related field
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 research excellence through publications or public repositories
Good communications skills
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