System Software Architecture Researcher - PhD Program

NVIDIA Corporation; Roskilde; On-site; DKK 420,000 - 540,000; Full time

Job summary

NVIDIA is inviting a PhD candidate to join our software architecture team for the Horizon Europe SOVEREIGN-6G project in Denmark. You will conduct innovative research at the intersection of Networking, Security and Communications, with access to world-class resources and leading experts.

The 36-month doctoral program includes enrollment in a partner university, collaboration with industry, and opportunities to publish, present at conferences, and contribute to cutting-edge data-center

Qualifications

• Master’s in Electrical Engineering, Computer Science or Computer Engineering.
• Background in algorithms, systems programming, networking, OS, and computer architecture.
• Strong programming skills in C/C++/Python; experience with Linux.
• Good communication skills.

Responsibilities

• Be at the forefront of modern data center research.
• Collaborate with industry leaders and external researchers.
• Present 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

Skills

C/C++/Python

Low-level Linux

RDMA ibverbs

Networking research

Communication skills

Education

Master’s degree 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-6G funded 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 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

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.

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