NVIDIA is searching for a candidate to join our growing software architecture team to do an Industrial PhD end-to-end. The ideal candidate 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 exiting 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.
Experience in low-latency RPC, network stacks, distributed systems and host data plane acceleration are necessary foundations for candidates. 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 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.
- General computer science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture.
- Experience in low-latency RPC, network stacks, distributed systems, host data plane acceleration.
- Strong programming (C/C++/Python), data structures and software development skills.
- Track record of research excellence through publications or public repositories
- Good communications 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.
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