NVIDIA
Senior GPU Memory Architect
$184K–$356K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Sep 21, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, NC, Durham
US, CA, Remote
US, WA, Seattle - Experience
- 10+ years.
- Education
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience).
About the job
Develop GPU processor and system architectures that improve memory-system performance and energy efficiency, and analyze, simulate, and debug their power and performance.
What you'll do
- Develop processor and system architecture and microarchitecture features focused on GPU memory systems and energy efficiency.
- Build architecture prototype models and conduct power, performance, and energy-per-byte analysis using simulations and emulation.
- Analyze workloads and results to identify optimizations; debug power, performance, and functional issues across models, RTL, silicon, and systems.
What they ask for
- 10+ years of experience in CPU/GPU architecture and memory systems design, focused on system energy efficiency.
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience).
- Expertise in power analysis and modeling for pipeline-based architectures.
- Understanding of power analysis 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
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Ansys Power Artist, Synopsys PTPX, C, C++, Verilog, VHDL
Model-written summary · the original posting is authoritative