Senior GPU Memory Architect – Perf/W Power Expert | Equity

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a world-class computer architect to advance future HPC systems with a focus on memory systems and power efficiency. You will push perf/W, perf/mm, and perf/$ through architectural innovations and power-aware modeling.

Responsibilities include creating architectures, simulating power/performance, and collaborating with partners. The role offers equity and benefits; applications accepted until March 3, 2026.

Qualifications

• 18+ years of experience in CPU/GPU architecture with a focus on energy efficiency.
• Bachelor's degree in Electrical Engineering, Computer Science, or related field.
• Expertise in power analysis and modeling in pipeline-based architectures.
• Proficiency with power analysis tools such as Ansys PowerArtist and Synopsys PTPX.
• Experience with C, C++, and scripting languages.

Responsibilities

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

Skills

Memory systems architecture

C/C++ programming

Scripting languages

Power analysis

Perf/W and perf/mm focus

Education

Bachelor's in Electrical Engineering, Computer Science, or related field

Tools

Ansys PowerArtist

Synopsys PTPX

Verilog/VHDL familiarity

Job description

NVIDIA Corporation in Santa Clara, CA seeks a world-class computer architect to advance future HPC systems with a focus on memory systems and power efficiency. You will push perf/W, perf/mm, and perf/$ through architectural innovations and power-aware modeling.

Responsibilities include creating architectures, simulating power/performance, and collaborating with partners. The role offers equity and benefits; applications accepted until March 3, 2026.