{"schemaVersion":"jobsearcher.job.v1","id":"5625ff816ae6f6803982cd9d","url":"https://jobsearcher.com/jobs/5625ff816ae6f6803982cd9d","canonicalUrl":"https://jobsearcher.com/jobs/5625ff816ae6f6803982cd9d","title":"Senior DevTech Compute Engineer, Compression and Data Processing","description":"Overview\nIn this role, you will prototype and integrate GPU-accelerated methods for distributed data processing, focusing on high-throughput, low-latency workloads. You will collaborate with experts across hardware, software, and research teams to optimize data-intensive tasks and influence future architectures. The work spans compression, databases, and data analytics, with direct engagement with customers and CSPs to deploy fast, scalable solutions. You will help shape the next generation of systems and programming models in a cutting-edge DevTech context.\n\nCompensation / Benefitsequitycomprehensive benefitshybrid/remote optionscompetitive base salarycareer growth opportunitiescutting-edge projects\nResponsibilitiesPrototype and integrate novel GPU-accelerated data processing methodsOptimize data-intensive workloads across heterogeneous CPU/GPU architecturesCollaborate with researchers and engineers to analyze and improve performanceInfluence design of future hardware/software/programming modelsCollaborate with customers to deploy solutions at scale\nKey requirementsMasters or PhD in Computer Science, Computer Engineering, Applied Math or related field (or equivalent experience)5+ years of relevant experience with cross-team projects and prioritizationHands-on experience with low-level parallel programming (CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB)Fluency in C/C++, algorithms and data structuresKnowledge of CPU/GPU/NPU/ASIC accelerators architecture, memory, caches, NICs and storage I/ODomain expertise in data processing, compression/decompression, codecs or high-performance distributed databasesInterpersonal skillsProblem solvingClear technical communicationCUDAROCmMetal","company":"NVIDIA","rawCompany":"nvidia","city":"Jersey City","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:37:51.999Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior DevTech Compute Engineer, Compression and Data Processing","description":"Overview\nIn this role, you will prototype and integrate GPU-accelerated methods for distributed data processing, focusing on high-throughput, low-latency workloads. You will collaborate with experts across hardware, software, and research teams to optimize data-intensive tasks and influence future architectures. The work spans compression, databases, and data analytics, with direct engagement with customers and CSPs to deploy fast, scalable solutions. You will help shape the next generation of systems and programming models in a cutting-edge DevTech context.\n\nCompensation / Benefitsequitycomprehensive benefitshybrid/remote optionscompetitive base salarycareer growth opportunitiescutting-edge projects\nResponsibilitiesPrototype and integrate novel GPU-accelerated data processing methodsOptimize data-intensive workloads across heterogeneous CPU/GPU architecturesCollaborate with researchers and engineers to analyze and improve performanceInfluence design of future hardware/software/programming modelsCollaborate with customers to deploy solutions at scale\nKey requirementsMasters or PhD in Computer Science, Computer Engineering, Applied Math or related field (or equivalent experience)5+ years of relevant experience with cross-team projects and prioritizationHands-on experience with low-level parallel programming (CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB)Fluency in C/C++, algorithms and data structuresKnowledge of CPU/GPU/NPU/ASIC accelerators architecture, memory, caches, NICs and storage I/ODomain expertise in data processing, compression/decompression, codecs or high-performance distributed databasesInterpersonal skillsProblem solvingClear technical communicationCUDAROCmMetal","datePosted":"2026-09-15T04:37:51.999Z","dateModified":"2026-09-15T04:37:51.999Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jersey City","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5625ff816ae6f6803982cd9d"},"url":"https://jobsearcher.com/jobs/5625ff816ae6f6803982cd9d"}}