Senior Architect I - Remote

NVIDIA is 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 analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. 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, optimizing 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 analyze, define, and improve energy per byte.Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.What we want to see:10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).Expertise in power analysis and modeling 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.MS/PhD in Electrical Engineering, Computer Science, or related fieldExperience with hardware design languages such as Verilog or VHDLPrior experience in developing and optimizing algorithms for power efficiencyDemonstrated ability to innovate and drive continuous improvement in system architectureExcellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until March 3, 2026.As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.US, CA, Remote; US, WA, SeattleType: Full time