Senior GPU Memory Architect for Power-Efficient HPC

NVIDIA; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. You will shape memory system architectures and energy-efficient design strategies in a fast-moving team.

The position emphasizes perf/W, perf/mm, and perf/$, with opportunities to work across RTL, silicon, and system integration, including collaborations with external partners.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Science, or related field (or equivalent experience).
• MS/PhD in Electrical Engineering, Computer Science, or related field (preferred).
• Expertise in power analysis and modeling in pipeline-based architectures.
• Experience with power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.
• Experience with C, C++, and some scripting languages.

Responsibilities

• 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 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 infrastructure.

Skills

CPU/GPU architecture

Memory systems design

Energy efficiency

Power analysis & modeling

C/C++ programming

Scripting languages

Education

Bachelor's in Electrical Engineering or Computer Science

MS/PhD in Electrical Engineering or Computer Science (preferred)

Tools

Ansys PowerArtist

Synopsys PTPX

Job description

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. You will shape memory system architectures and energy-efficient design strategies in a fast-moving team.

The position emphasizes perf/W, perf/mm, and perf/$, with opportunities to work across RTL, silicon, and system integration, including collaborations with external partners.