About the role
NVIDIA is searching for a premier master's graduate to join our growing software architecture team in the context of the Marie Curie Doctoral Network NEWTON. 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 acceleration, AI for networking and security, storage management, cryptography, and architecture. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Experience in low-latency RPC, network stacks, distributed systems and host data plane acceleration are necessary foundations for candidates.
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:
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 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 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.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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