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:
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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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Performance modeling and simulation of features to improve memory system efficiency.
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Implementing and maintaining high-level performance and functional models.
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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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Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
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Working with various cross functional teams like ASIC design and verification, software, product development team, 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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3+ years of meaningful work experience in SoC Architecture and development specifically in one or more domains of MMU and address translation, memory caching, interconnects, 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.
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. It's not just technology though! It is our people, some of the brightest in the world, and our company diverse culture make NVIDIA one of the most fun, innovative and dynamic places to work for in the world! At the center of NVIDIA's culture are our core values - like innovation, excellence and determination, and one team - that guide us to be the best we can be
Top Skills
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.”
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