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 autonomous vehicles, mobile systems, deep-learning, and gaming. What you will be doing: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.Performance modeling and simulation of features to improve memory system efficiency.Implementing and maintaining high-level performance and functional models.Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.Debugging performance and functional issues with high-level models, RTL simulation, and silicon.Working with various cross functional teams like ASIC design and verification, software, product development team, marketing in developing the comprehensive solutionWhat we need to see:Bachelors or Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field (or equivalent experience). 4+ years of meaningful work experience in SoC Architecture and development Experience in domains of System MMU and address translation or interconnects would be a great positiveStrong 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:Practical experience with MMU and address translation, performance modeling and analysis
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