Research Scientist

Found in: beBee S DK - 1 month ago


Roskilde, Denmark Mellanox Technologies Denmark ApS Full time

NVIDIA is searching for a world-class PhD candidate to join our growing software architecture team in the context of the Marie Curie Doctoral Network EMPOWER6G. 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 exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, 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.

 

DPU Data-Processing Units are the smallest form of a data centre, 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 CPU and GPU processors. The path to harvest all processing power of DPUs is encapsulated on the DOCA software development kit, which contain all industry-standards that enable application developers to build up amazing network applications.

 

This position will be collaborating with an academic collaborator at the National Technical University of Athens, Greece and will concurrently work toward a PhD, the research work location will be in Denmark.
The scholarship is highly competitive.

 

What you’ll be doing:

Gain hands on experience with designing and implementing services and applications with DPU DOCA SDK

Learn about security subsystems and systems for networking

Partner and collaborate with other forward-thinking team members and external researchers

Have the opportunity to 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/Engineering, Math/Physics/Statistics or a related field

Knowledge on SDN, control planes and O-RAN systems​Basic knowledge on complexity analysis of codesKnowledge of code optimizationKnowledge on data planes in networking is a plusTrack record of research excellence

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


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