System Software Architecture Researcher - PhD Program
NVIDIA
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. In particular, this doctoral position will look at load balancing on storage servers access through high-capacity network interface cards.
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
- Must hold a Master’s in Electrical Engineering, Computer Science or Computer Engineering
- 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
- Low-level Linux
- Remote storage knowledge (e.g. NVMe-oF), RDMA ibverbs and operating systems research are a plus
- Good communications skills
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