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Network RDMA Algorithms Architect

NVIDIA Corporation

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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.

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Original posting: jobs.nvidia.com

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RISC-V ecosystem

NVIDIA Corporation in the RISC-V ecosystem

RISC-V International: Premier Board

Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.

  • NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
  • Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
  • Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage

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