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What you’ll be doing:
Participate in defining NVIDIA's next generation heterogeneous computing platforms, which include GPUs, CPUs and smart NICs.
Define SW features to orchestrate and utilize the HW resources in the most optimal way, in order to achieve best-in-class performance.
Code your design, test it and deliver results and insights regarding it to a broad forum.
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. /M.Sc./ PhD in relevant fields (Computer Science, Computer Engineer or Electrical Engineer).
2+ years of relevant experience.
Ability to plan and code in C/CUDA.
Good grasp of networking layers and SW-HW co-design.
Possess strong problem solving and critical thinking skills.
Ways to stand out of the crowd:
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.
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