New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →
NVIDIA

Senior GPU Memory Architect

NVIDIA
Apply →
onsite senior full-time Santa Clara

First indexed 18 May 2026

Description

We are seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware.

Ideal candidates will have a strong track record of understanding and analysing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm).

Responsibilities:

Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimising along the axes of perf/W, perf/mm, and perf/\$.

Develop and enhance architecture prototype models for power and noise analysis.

Participate in performance and power simulation of features to analyse, define, and improve energy per byte.

Analyse benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimisations.

Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

Collaborate with outside partners on system infrastructure.

Requirements:

10+ years of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

Bachelor's in Electrical Engineering, Computer Science, or related field (or equivalent experience).

Expertise in power analysis and modelling in pipeline-based architectures.

Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

Experience with C, C++, and some scripting languages.

Preferred qualifications:

MS/PhD in Electrical Engineering, Computer Science, or related field.

Experience with hardware design languages such as Verilog or VHDL.

Prior experience in developing and optimising algorithms for power efficiency.

Demonstrated ability to innovate and drive continuous improvement in system architecture.

Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

Benefits:

You will also be eligible for equity and benefits.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-GPU-Memory-Architect_JR2014030