Senior GPU Memory Architect for Power-Efficient HPC

NVIDIA

Durham (NC)

On-site

USD 184,000 - 357,000

Full time

3 days ago

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Job summary

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, focusing on power-constrained performance and memory system design for GPU architectures. Ideal candidates will have 10+ years in CPU/GPU architecture with energy efficiency in mind, a related bachelor's degree, and expertise in power analysis tools.

Proficiency in C/C++ and scripting is required.

Qualifications

Bachelor's degree in Electrical Engineering, Computer Science, or related field (or equivalent experience).
10+ years of experience in CPU/GPU architecture and memory systems design with a focus on energy efficiency.
Expertise in power analysis and modeling for pipeline-based architectures.
Experience with power analysis tools such as Ansys PowerArtist, Synopsys PTPX, etc.
Experience with C, C++, and some scripting languages.

Responsibilities

Develop high-performance processor and system architectures focusing on memory systems and energy efficiency.
Advance architecture features to improve GPU memory systems for perf/W, perf/mm, and perf/$.
Create and refine architecture prototype models for power and noise analysis.
Perform performance and power simulations to analyze and optimize energy per byte.
Analyze benchmarks and workloads to identify architecture optimization opportunities.
Debug power, performance, and functional issues across models, RTL, silicon, and systems.
Collaborate with external partners on system infrastructure.