Principal GPU Memory Architect
Core
Designing high-performance GPU memory systems and processor architectures to maximize power-constrained performance (perf/W, perf/mm, perf/$) and energy efficiency.
Role type
Principal GPU Memory Architect (IC)
Builds
Next-generation GPU processors and memory subsystems for high-performance computing
Domain
Semiconductor / High-Performance Computing / Computer Architecture
Deliverable
production ML models
Required skills
CPU/GPU architecture design, memory systems design, power analysis and modeling, RTL simulation and emulation, benchmark analysis, C/C++ programming
Preferred skills
Hardware design languages (Verilog/VHDL), algorithm optimization for power efficiency, PhD in EE/CS
Technologies
Ansys Power Artist, Synopsys PTPX, CUDA (via careerplan.io/jobs/893393728466-principal-gpu-memory-architect-at-nvidia)
Responsibilities
Develop innovative processor and system architectures focusing on memory and energy efficiency; Create architecture and micro-architecture features to optimize perf/W, perf/mm, and perf/$; Develop and enhance prototype models for power and noise analysis; Participate in performance and power simulation to analyze energy per byte; Analyze benchmarks and workloads to identify optimization areas; Debug power, performance, and functional issues across models, RTL, silicon, and systems; Collaborate with external partners on system infrastructure.
Seniority
Principal, hands-on IC with strategy & mentorship
