System Software Architecture Researcher - PhD Program

NVIDIA; Roskilde; On-site; DKK 320,000 - 420,000; Full time

Job summary

NVIDIA is seeking a PhD candidate to join its software architecture team, researching at the intersection of Networking, Security, and Communications. The program is 36 months long and includes enrollment in a PhD program at a partner university, with NVIDIA partnership.

You will explore topics like remote direct memory access, hardware offloading, AI for networking and security, and architecture, contributing to next-generation data-center accelerations.

Qualifications

• Master's in Electrical Engineering, Computer Science or Computer Engineering required.
• Background in algorithms, system programming, networking, operating systems and computer architecture.
• Strong programming skills in C/C++/Python.
• Low-level Linux experience.
• Knowledge of remote storage (NVMe-oF) and RDMA ibverbs is a plus.
• Good communication skills.

Responsibilities

• Be at the forefront of modern data center research.
• Collaborate with forward-thinking industry leaders and external researchers.
• Present at conferences and publish original research.
• Develop and evaluate software and architectures for AI-enabled networking and storage.
• Work on load balancing on storage servers accessed via high-capacity network interfaces.

Skills

C/C++/Python

Linux

Networking basics

Algorithms

System programming

RDMA

Education

Master's in Electrical Engineering, Computer Science or Computer Engineering

Job description

NVIDIA is searching for a PhD candidate to join our growing software architecture team in the context of the project SOVEREIGN-6Gfunded by the European Commission under the Horizon Europe research program. 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. 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. In particular, this doctoral position will look at load balancing on storageservers access through high-capacity network interfacecards.

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.

• 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

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.