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Nvidia Senior GPU Memory Architect 
United States, Texas 
290017478

31.07.2024

What you will be doing:

  • Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

  • Participating in performance simulation of features to improve memory access efficiency.

  • Implementing and maintaining high-level functional and performance models.

  • Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.

  • Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.

  • Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.

  • Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

What we need to see:

  • Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.

  • 2+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.

  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.

Ways to stand out from the crowd:

  • Experience with hardware memory management unit, prefetching, or memory subsystems.

  • Practical experience with multi-core systems and memory coherency.

You will also be eligible for equity and .