Senior System Software Architect, AI Networking
Overview
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Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art accelerated compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest paced computer users in the world - scientists, designers, artists, and gamers.
We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand and NVLink systems will be at the heart of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today. As a system/software architect at NVIDIA, you will have the opportunity to work on some of the most innovative technology that is currently driving the world forward.
What you’ll be doing:
• Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture.
• Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams. The solutions can span over various layers: from algorithms and high level software to firmware and HW.
• Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.
What we need to see:
• B.Sc in Computer Science, Computer Engineer or Electrical Engineer.
• At least 5 years proven experience in VLSI, FW or SW design/architectural roles.
• Good grasp of networking layers and SW-HW co-design.
• Possess strong managerial, problem solving and critical thinking skills.
• Ability to work and operate in a highly dynamic environment on multiple concurrent projects with multiple groups.
Ways to stand out of the crowd:
• M.Sc / PhD in relevant fields (Math, Computer Science, Computer Engineer or Electrical Engineer).
• Knowledge/hands-on experience in network protocols - such as InfiniBand, IP, TCP and RoCE.
• Knowledge/experience in network topologies, LLM or DL (research or design).
• Architectural experience in SW-HW co-design.
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. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Original posting: jobs.nvidia.com
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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