The Senior GPU Memory Subsystem Architect position at NVIDIA involves designing and enhancing the memory subsystems for GPU architecture. The role requires close collaboration with various teams to model, troubleshoot, and analyze performance metrics within memory systems.
This position is targeted towards candidates with more than 3 years of experience in system-level architecture focused on performance issues within related fields.
Key responsibilities include:
Applicants should have a Masters or Bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering, along with a strong programming background in C and C++. Knowledge of Verilog/System Verilog, along with an understanding of memory subsystems, caches, MMUs, and computer architecture are critical. Strong communication skills and the ability to work in dynamic, distributed teams are essential.
Master's or Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering or a related field, or equivalent experience.