Network RDMA Algorithms Architect
NVIDIA
Network RDMA Algorithms Architect
NVIDIA
Designs the chips and software that power AI
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.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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