Nvidia Senior GPU Memory Architect 

United States, California 

107494606

What you will be doing:

• Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

• Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.

• Develop and enhance architecture prototype models for power and noise analysis.

• Participate in performance and power simulation of features to analyze, define, and improve energy per byte.

• Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.

• Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

• Collaborate with outside partners on system

What we want to see:

• 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

• Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).

• Expertise in power analysis and modeling in pipeline-based architectures.

• Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

• Experience with C, C++, and some scripting languages.

Ways to stand out from the crowd:

• MS/PhD in Electrical Engineering, Computer Science, or related field

• Experience with hardware design languages such as Verilog or VHDL

• Prior experience in developing and optimizing algorithms for power efficiency

• Demonstrated ability to innovate and drive continuous improvement in system architecture

• Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.