NVIDIA is seeking a motivated memory subsystem architects to work with a team to solve complex problems while optimizing performance, area, complexity, and power on leading-edge SoC systems. This team helps build new and innovative products tailored to NVIDIA’s world changing solutions for servers, autonomous vehicles, mobile systems, and gaming systems.
What you will be doing:
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Developing architecture and micro-architecture to improve the state-of-the-art in memory system optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
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Drive the feature definition
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Performance modeling and simulation of features to improve memory system efficiency.
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Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.
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Working with various cross functional teams like product architecture, system software, ASIC design and verification, and marketing in developing the comprehensive solution
What we need to see:
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Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field (or the equivalent experience).
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12+ years of meaningful work experience in SoC Architecture and development specifically in one or more domains of system coherent interconnect, system caches, high speed IOs, and DRAM controllers.
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Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team.
Ways to stand out from the crowd:
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Practical experience with large server system product definition and development.
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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.”
