Come be part of NVIDIA, the industry leader in AI Data Centers. We are now innovating the future of data center, and defining the next generation of networking solutions. Our team is dedicated to pushing boundaries and overcome the challenges involved in providing high performance data centers. As a Network RDMA Algorithms Architect, you'll contribute to our creative and cooperative setting, focusing on the ConnectX network adapter, SPC-X end to end solution and more exciting technologies.
What you'll be doing:
Conduct research and analysis on networking solution and end to end algorithms.
Work with a creative and experienced team to outline the next generation of our RDMA load balance and congestion control algorithms.
Work on simulation environment and on real HW systems
Engage with other research teams to develop Proof of Concepts using our technology.
What we need to see:
2+ years of experience.
B.Sc. in Electrical Engineering or Computer Engineering.
High motivation to learn and explore new fields.
Proven problem-solving skills.
Excellent interpersonal skills.
Knowledge and understanding of compute and networking systems is an advantage.
Passion and attention to detail in building with a high focus on building quality.
Ways to stand out from the crowd:
Passion and love for system architecture, including CPU/GPU/Memory/Storage/Networking.
Background with AI workloads.
background with networking.
Experience in the development of simulation environments.
NVIDIA values diversity in employees. We are an equal opportunity employer, not discriminating in hiring or promotions based on various protected characteristics.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
