NVIDIA
Principal GPU Memory Architect
$272K–$431K
US, CA, Santa Clara · Principal · Full-time · Posted Oct 7, 2026
- Experience
- 18+ years.
- Education
- Bachelor’s in Electrical Engineering, Computer Science, or a related field (or equivalent experience).
About the job
Develop GPU memory and system architectures that improve performance and energy efficiency, using modeling, simulation, and workload analysis.
What you'll do
- Develop processor, system, and GPU memory architecture and microarchitecture features focused on energy efficiency.
- Build and enhance prototype models; simulate and analyze power, performance, noise, and energy per byte.
- Analyze workloads and debug power, performance, and functional issues across models, RTL, silicon, and systems.
What they ask for
- 18+ years of experience in CPU/GPU architecture and memory systems design, focused on system energy efficiency.
- Bachelor’s in Electrical Engineering, Computer Science, or a related field (or equivalent experience).
- Expertise in power analysis and modeling in pipeline-based architectures; understanding of tools such as Ansys Power Artist and Synopsys PTPX.
- Experience with C, C++, and scripting languages.
Nice to have
- MS/PhD in Electrical Engineering, Computer Science, or a related field.
- Experience with Verilog or VHDL, or developing and optimizing power-efficiency algorithms.
Pay
272,000 USD - 431,250 USD base salary
Tools
Ansys Power Artist, Synopsys PTPX, C, C++, Verilog, VHDL
Model-written summary · the original posting is authoritative