Senior Memory Subsystem Architect

Overview

• NVIDIA has continuously reinvented itself.
• Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
• Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
• NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world.
• This is our life’s work , to amplify human creativity and intelligence.
• As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
• Come join our diverse team and see how you can make a lasting impact on the world! 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 Data center, Autonomous vehicles, 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 solution.
• What we need to see: Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field (or the equivalent experience).
• 4+ 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.
• 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: Significant understanding of Performance (Bandwidth and Latency), Quality of Service and its impact on the overall system performance Practical experience in developing and using Performance model for early Architecture analysis #LI-Hybrid.