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Senior GPU Memory Architect

NVIDIA

Engineering Jobs

Senior GPU Memory Architect

full-timePosted: Oct 1, 2025

Job Description

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. What you will be doing:Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.Develop and enhance architecture prototype models for power and noise analysis.Participate in performance and power simulation of features to analyze, define, and improve energy per byte.Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.Collaborate with outside partners on system infrastructure. What we want to see:10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.Bachelors 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, etc.Experience with C, C++, and some scripting languages.Ways to stand out from the crowd:MS/PhD in Electrical Engineering, Computer Science, or related fieldExperience with hardware design languages such as Verilog or VHDLPrior experience in developing and optimizing algorithms for power efficiencyDemonstrated ability to innovate and drive continuous improvement in system architectureExcellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.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 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 5, 2025.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.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

28,000,000 - 56,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • computer architectureintermediate
  • memory systems architectureintermediate
  • power-constrained performance optimizationintermediate
  • PPA analysisintermediate
  • CUDA languageintermediate
  • high-performance computingintermediate
  • processor architecturesintermediate
  • system architecturesintermediate
  • micro-architecture featuresintermediate
  • GPU memory systemsintermediate
  • architecture prototype modelsintermediate
  • power and noise analysisintermediate
  • performance and power simulationintermediate
  • energy per byte analysisintermediate
  • benchmark analysisintermediate
  • application workload analysisintermediate
  • performance/power simulation and emulationintermediate
  • architecture optimizationsintermediate
  • debugging power issuesintermediate
  • debugging performance issuesintermediate
  • debugging functional issuesintermediate
  • RTL simulationintermediate
  • emulationintermediate
  • silicon debuggingintermediate
  • systems debuggingintermediate
  • collaboration with partnersintermediate
  • CPU architectureintermediate
  • GPU architectureintermediate
  • memory systems designintermediate
  • energy efficiencyintermediate
  • power analysisintermediate
  • power modelingintermediate
  • pipeline-based architecturesintermediate

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NVIDIA logo

Senior GPU Memory Architect

NVIDIA

Engineering Jobs

Senior GPU Memory Architect

full-timePosted: Oct 1, 2025

Job Description

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. What you will be doing:Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.Develop and enhance architecture prototype models for power and noise analysis.Participate in performance and power simulation of features to analyze, define, and improve energy per byte.Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.Collaborate with outside partners on system infrastructure. What we want to see:10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.Bachelors 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, etc.Experience with C, C++, and some scripting languages.Ways to stand out from the crowd:MS/PhD in Electrical Engineering, Computer Science, or related fieldExperience with hardware design languages such as Verilog or VHDLPrior experience in developing and optimizing algorithms for power efficiencyDemonstrated ability to innovate and drive continuous improvement in system architectureExcellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.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 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 5, 2025.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.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

28,000,000 - 56,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • computer architectureintermediate
  • memory systems architectureintermediate
  • power-constrained performance optimizationintermediate
  • PPA analysisintermediate
  • CUDA languageintermediate
  • high-performance computingintermediate
  • processor architecturesintermediate
  • system architecturesintermediate
  • micro-architecture featuresintermediate
  • GPU memory systemsintermediate
  • architecture prototype modelsintermediate
  • power and noise analysisintermediate
  • performance and power simulationintermediate
  • energy per byte analysisintermediate
  • benchmark analysisintermediate
  • application workload analysisintermediate
  • performance/power simulation and emulationintermediate
  • architecture optimizationsintermediate
  • debugging power issuesintermediate
  • debugging performance issuesintermediate
  • debugging functional issuesintermediate
  • RTL simulationintermediate
  • emulationintermediate
  • silicon debuggingintermediate
  • systems debuggingintermediate
  • collaboration with partnersintermediate
  • CPU architectureintermediate
  • GPU architectureintermediate
  • memory systems designintermediate
  • energy efficiencyintermediate
  • power analysisintermediate
  • power modelingintermediate
  • pipeline-based architecturesintermediate

Target Your Resume for "Senior GPU Memory Architect" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior GPU Memory Architect. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior GPU Memory Architect" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior GPU Memory Architect @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.