{"schemaVersion":"jobsearcher.job.v1","id":"ce98ef503b43b40f759d69ba","url":"https://jobsearcher.com/jobs/ce98ef503b43b40f759d69ba","canonicalUrl":"https://jobsearcher.com/jobs/ce98ef503b43b40f759d69ba","title":"Senior GPU Memory Architect","description":"Overview\nIn this role you will advance GPU memory systems at NVIDIA, shaping next-gen architectures for AI, autonomous vehicles, gaming, and mobile platforms. You will collaborate with a distributed, product-driven team to optimize performance, power, area, and complexity across silicon processes. You’ll run performance simulations, develop high-level models, and translate findings into architectural specifications and industry-aligned interfaces. This is a hands-on role that blends research, design, and cross-functional collaboration to push the state of the art in memory subsystems. You’ll work in a dynamic environment with mentoring opportunities and a clear impact on NVIDIA’s differentiating GPUソ\n\nCompensation / Benefitscompetitive salariesgenerous benefits packageequitylocation-based compensationcareer growth opportunitiesdynamic, diverse workplace\nResponsibilitiesDevelop architecture and micro-architecture for GPU memory systems focusing on performance, power, area, and schedulePerform performance simulations to improve memory access efficiencyCreate and maintain high-level functional and performance modelsAnalyze benchmarks and workloads to identify microarchitectural optimizationsDesign experiments, present results, and propose improvementsDraft architectural specifications and customer-facing documentsCollaborate with industry partners to align software interfaces with GPU memory systemsDebug performance and functional issues using high-level models, RTL simulation, and silicon\nKey requirements6+ years of experience in GPU or CPU architecture with memory caching and interconnectsMaster degree or equivalent in Electrical Engineering, Computer Science, Computer Engineering or related fieldPhD in computer architecture is a plusStrong communication and interpersonal skills and ability to work in a distributed, product-oriented teammentoring history is a plusstrong communicationinterpersonal skillsmentoring junior engineersmemory caching and interconnectshardware memory management unitprefetching","company":"NVIDIA","rawCompany":"nvidia","city":"Franklin","state":"TN","isRemote":false,"isActive":true,"createdAt":"2026-09-15T05:11:07.807Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.06","title":"Microsystems Engineers","slug":"microsystems-engineers"}],"industries":[{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior GPU Memory Architect","description":"Overview\nIn this role you will advance GPU memory systems at NVIDIA, shaping next-gen architectures for AI, autonomous vehicles, gaming, and mobile platforms. You will collaborate with a distributed, product-driven team to optimize performance, power, area, and complexity across silicon processes. You’ll run performance simulations, develop high-level models, and translate findings into architectural specifications and industry-aligned interfaces. This is a hands-on role that blends research, design, and cross-functional collaboration to push the state of the art in memory subsystems. You’ll work in a dynamic environment with mentoring opportunities and a clear impact on NVIDIA’s differentiating GPUソ\n\nCompensation / Benefitscompetitive salariesgenerous benefits packageequitylocation-based compensationcareer growth opportunitiesdynamic, diverse workplace\nResponsibilitiesDevelop architecture and micro-architecture for GPU memory systems focusing on performance, power, area, and schedulePerform performance simulations to improve memory access efficiencyCreate and maintain high-level functional and performance modelsAnalyze benchmarks and workloads to identify microarchitectural optimizationsDesign experiments, present results, and propose improvementsDraft architectural specifications and customer-facing documentsCollaborate with industry partners to align software interfaces with GPU memory systemsDebug performance and functional issues using high-level models, RTL simulation, and silicon\nKey requirements6+ years of experience in GPU or CPU architecture with memory caching and interconnectsMaster degree or equivalent in Electrical Engineering, Computer Science, Computer Engineering or related fieldPhD in computer architecture is a plusStrong communication and interpersonal skills and ability to work in a distributed, product-oriented teammentoring history is a plusstrong communicationinterpersonal skillsmentoring junior engineersmemory caching and interconnectshardware memory management unitprefetching","datePosted":"2026-09-15T05:11:07.807Z","dateModified":"2026-09-15T05:11:07.807Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Franklin","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ce98ef503b43b40f759d69ba"},"url":"https://jobsearcher.com/jobs/ce98ef503b43b40f759d69ba"}}