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 NVIDIAs world changing solutions for servers, 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.
Working with various cross functional teams like Software, ASIC design and verification, product development team, marketing in developing the comprehensive solution
What we need to see:
Bachelors or Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field (or equivalent experience).
8+ 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 positive
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:
Practical experience with MMU and address translation, performance modeling and analysis
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