Senior GPU Memory Subsystem Architect

Job Title

Senior GPU Memory Subsystem Architect

Role Summary

NVIDIA is seeking a motivated memory subsystem architect with a strong analytical background to contribute to GPU architecture advancements. The role involves performance modeling, simulation, and analysis of the memory subsystem as part of a collaborative team.

Experience Level

Mid-level, requiring 3+ years of experience in system-level architecture and performance issues.

Responsibilities

Key responsibilities include:

• Advancing GPU Architecture and Simulators, testing infrastructure, metrics, and compilers.
• Performance modeling and simulation to enhance memory system efficiency.
• Developing and debugging test plans and testing infrastructure.
• Conducting performance analysis and bottleneck analysis in memory subsystem units.
• Working with hardware models at various extraction levels to identify system bottlenecks.
• Collaborating across multifunctional teams including ASIC design and verification.

Requirements

Must-have qualifications include:

• Master's or Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.
• 3+ years of experience with system-level architecture and performance issues.
• Strong programming skills in C/C++ and exposure to Verilog/System Verilog.
• Understanding of memory architecture, caches, MMU, memory control, and interconnects.
• Experience with debugging and analysis using RTL dumps.
• Familiarity with performance simulators and pre-silicon performance analysis.
• Strong communication and interpersonal skills.

Education Requirements

Master's or Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field.

About the Company

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.