Senior GPU Memory Architect

Details

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance GPU computing systems. The role focuses on memory and on-chip interconnect subsystems with an emphasis on improving performance, power, and area (PPA). Candidates should have deep experience in memory systems architecture, performance modeling, and large-scale software development.

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; OR MS with 6+ years; OR PhD with 4+ years.
• 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.
• Experience developing and using performance/power simulation and emulation tools; ability to analyze simulation/emulation results.
• Experience developing and refining performance models and creating test cases within performance modeling frameworks.
• Strong analytical skills for benchmark and workload analysis.
• Excellent written and verbal communication skills for collaboration with internal teams and external partners.

Ways to stand out

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

Compensation and Benefits

• Base salary ranges (depending on level and location):
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligible for equity and benefits. See: https://www.nvidiabenefits.com/

Other

• Applications for this job will be accepted at least until December 16, 2025.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.