NVIDIA is searching for world-class interns to join our growing software architecture 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 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.

• -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

• -Graduated with a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field-Knowledge of common security and cryptography frameworks in the context of networking-Track record of research excellence-Good communications skills

• This position will be placed with an academic collaborator; either in Denmark (AAU Copenhagen) or the Netherlands (TUE Eindhoven).Candidates will first undergo 18 months of academic training and then join NVIDIA as Research Scientist Intern for the next 18 months (either in Denmark or Germany). Both parts of the PhD Program, academic as well as industrial, are paid. The scholarship is highly competitive.

Curriculum vitae