{"schemaVersion":"jobsearcher.job.v1","id":"e01f8707bb628a72f6541b69","url":"https://jobsearcher.com/jobs/e01f8707bb628a72f6541b69","canonicalUrl":"https://jobsearcher.com/jobs/e01f8707bb628a72f6541b69","title":"Senior Architect - Data Processing Systems, Analytics and Data Intelligence","description":"OverviewIn this role you will define and optimize hardware-software architectures for data processing workloads across NVIDIA's ADI platforms. You'll work with end users, partners, and internal teams to align roadmaps with customer needs and achieve high performance at scale. You will drive full-stack performance improvements—from kernels to system IO and data movement—while shaping future hardware features. This is a highly collaborative, impact-driven position at the intersection of data platforms and accelerator technology.Compensation / BenefitsequitybenefitsResponsibilitiesCo-design future architectures for data processing platforms focusing on performance, efficiency, and costEngage with end users, open-source communities, ISVs, storage partners, and CSPs to inform roadmaps and reference architecturesDrive end-to-end performance optimization from CUDA kernels to system-level IO and data movementCollaborate with CPU, GPU, and platform architects to influence hardware features via workload analysisDevelop constraint-based frameworks and optimization solvers to navigate trade-offs across metricsCreate benchmarking frameworks to measure performance sensitivity and guide co-optimizationAnalyze production workloads to identify compute motifs, IO patterns, and optimization opportunities across the stackKey requirementsMS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience)8+ years in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-designDeep knowledge in data processing systems, accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysisExperience evaluating system-level trade-offs across compute, IO provisioning, memory, network topology, and storage across diverse workloadsAbility to translate complex system analyses into actionable guidance for silicon architects, software engineers, and leadershipExperience working across matrixed organizations to drive alignment and deliver resultsHands-on experience with GPU-accelerated data processing (preferred)strong collaboration across cross-functional teamsexcellent communication and ability to present complex analyses to executivesproblem-solving mindset with a focus on actionable outcomesCUDA and CUDA kernelscuDF, RAPIDS, cuVSvector databases or structured data engines","company":"NVIDIA","rawCompany":"nvidia","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:06:10.612Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Architect - Data Processing Systems, Analytics and Data Intelligence","description":"OverviewIn this role you will define and optimize hardware-software architectures for data processing workloads across NVIDIA's ADI platforms. You'll work with end users, partners, and internal teams to align roadmaps with customer needs and achieve high performance at scale. You will drive full-stack performance improvements—from kernels to system IO and data movement—while shaping future hardware features. This is a highly collaborative, impact-driven position at the intersection of data platforms and accelerator technology.Compensation / BenefitsequitybenefitsResponsibilitiesCo-design future architectures for data processing platforms focusing on performance, efficiency, and costEngage with end users, open-source communities, ISVs, storage partners, and CSPs to inform roadmaps and reference architecturesDrive end-to-end performance optimization from CUDA kernels to system-level IO and data movementCollaborate with CPU, GPU, and platform architects to influence hardware features via workload analysisDevelop constraint-based frameworks and optimization solvers to navigate trade-offs across metricsCreate benchmarking frameworks to measure performance sensitivity and guide co-optimizationAnalyze production workloads to identify compute motifs, IO patterns, and optimization opportunities across the stackKey requirementsMS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience)8+ years in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-designDeep knowledge in data processing systems, accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysisExperience evaluating system-level trade-offs across compute, IO provisioning, memory, network topology, and storage across diverse workloadsAbility to translate complex system analyses into actionable guidance for silicon architects, software engineers, and leadershipExperience working across matrixed organizations to drive alignment and deliver resultsHands-on experience with GPU-accelerated data processing (preferred)strong collaboration across cross-functional teamsexcellent communication and ability to present complex analyses to executivesproblem-solving mindset with a focus on actionable outcomesCUDA and CUDA kernelscuDF, RAPIDS, cuVSvector databases or structured data engines","datePosted":"2026-10-26T13:06:10.612Z","dateModified":"2026-10-26T13:06:10.612Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e01f8707bb628a72f6541b69"},"url":"https://jobsearcher.com/jobs/e01f8707bb628a72f6541b69"}}