Senior GPU Memory Architect

About the role

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance GPU computing systems. The ideal candidate will have a strong background in understanding and improving memory system architectures.

Responsibilities

• Define and architect innovative features for next-generation GPU memory and on-chip interconnect subsystems.
• Develop, implement, and refine performance models to evaluate architectural choices and predict subsystem behavior.
• Develop and evaluate test cases to validate performance models and ensure robust feature integration.
• Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.
• Collaborate closely with multi-disciplinary engineering teams to translate product requirements into architectural solutions.

Requirements

• Bachelor’s degree (or equivalent experience) in Computer Engineering, Electrical Engineering, Computer Science, or a related field with a minimum of 8+ years of relevant professional experience is required.
• Or an MS degree with 6+ years or a PhD with 4+ years of experience are also eligible.
• An understanding in CPU or GPU architecture, memory systems, or network on-chip design.
• Experience in large-scale software development projects and strong programming skills in C/C++ and Python or other scripting languages.
• Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

Qualifications

• Background in parallel computing, datacenter architecture, or large scale interconnect architecture.
• Expertise in data analysis and visualization using tools such as pandas and related technologies.
• Experience in writing, running, and analyzing test cases within performance modeling frameworks.
• Experience in using AI tools for code development, validation, and analysis.

Skills

• Strong understanding of CPU or GPU architecture, memory systems, or network on-chip design.
• Experience in large-scale software development projects and strong programming skills in C/C++ and Python or other scripting languages.
• Excellent communication skills, both written and verbal.
• Experience in data analysis and visualization using tools such as pandas and related technologies.
• Experience in writing, running, and analyzing test cases within performance modeling frameworks.
• Experience in using AI tools for code development, validation, and analysis.

Benefits

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family here. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.

Pay

The base salary range for this position is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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.