Senior Memory Subsystem Architect
Design and optimize memory subsystem architecture for SoC platforms, focusing on performance, power, area, and complexity trade-offs. Work with architecture, RTL, software, verification, and product teams to define and validate memory system solutions for data center, autonomous, AI, and graphics products.
Primary activities include performance modeling, micro-architecture design, benchmark analysis, and debugging across models, RTL, and silicon.
Senior-level. The role expects approximately 4+ years of relevant SoC architecture and development experience.
Key responsibilities include:
Must-have qualifications and skills:
Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
