Senior GPU Memory Architect
$184k - $357k • US, CA, Santa Clara
Posted 28d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.
Responsibilities
- Develop innovative high-performance processor and system architectures, focusing on memory systems and energy efficiency.
- Develop architecture and micro-architecture features to improve GPU memory systems, optimizing for perf/W, perf/mm, and perf/$
- Develop and enhance architecture prototype models for power and noise analysis.
- Participate in performance and power simulation to analyze and improve energy per byte.
- Analyze benchmarks, application workloads, and simulation results to identify architecture optimization areas.
- Debug power, performance, and functional issues across models, simulations, silicon, and systems.
- Collaborate with external partners on system infrastructure.
Requirements
- 10+ years of experience in CPU/GPU architecture and memory systems design with a focus on energy efficiency.
- Bachelor's degree 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.
- Experience with C, C++, and scripting languages.
Benefits
- Equity
- Benefits