{"schemaVersion":"jobsearcher.job.v1","id":"a9e019bf0f829c04b95542e0","url":"https://jobsearcher.com/jobs/a9e019bf0f829c04b95542e0","canonicalUrl":"https://jobsearcher.com/jobs/a9e019bf0f829c04b95542e0","title":"Senior Engineer - Quantum Error Correction Libraries","description":"Overview\nIn this role you will design, optimize, and scale GPU-accelerated algorithms for quantum circuit simulations and related HPC workloads. You will join an engineering team that collaborates with NVIDIA Research and product groups to advance quantum computing software. You will tackle performance and scalability challenges across GPUs, CPUs, and multi-node environments. This is an opportunity to shape libraries that accelerate quantum research and development at scale.\n\nCompensation / Benefitsequitybenefits packagecompetitive salarycareer growthflexible work optionsglobal team environment\nResponsibilitiesResearch and develop GPU-accelerated algorithms across multiple hardware generationsDevelop HPC algorithms to scale quantum circuit simulationsCollaborate with NVIDIA Research, Developer Technology, and Product Management on quantum computing, HPC, and ML areasEngage with external partners and researchers to capture use cases and requirementsProvide technical leadership and guidance to other engineersAnalyze performance of GPU/CPU/multi-GPU/multi-node implementations and identify improvements\nKey requirementsExcellent C++ and Python programming and software design, including functional and performance test designExperience programming for GPUs with multi-threading and multi-node MPI model, and hardware-aware optimizationExperience with agentic coding toolsProven track record in developing scientific software for quantum simulations (e.g., circuit simulators, compilers, hybrid computing)PhD or MSc in Computer Science, Applied Math, Physics, or related field (or equivalent experience)8+ years of experienceStrong collaboration, communication, and documentation skillsstrong collaborationexcellent communicationdocumentation skillsC++ programmingPython programmingGPU programming with multi-threading and MPI","company":"NVIDIA","rawCompany":"nvidia","city":"Seattle","state":"WA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T03:28:37.673Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"19-2012.00","title":"Physicists","slug":"physicists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Engineer - Quantum Error Correction Libraries","description":"Overview\nIn this role you will design, optimize, and scale GPU-accelerated algorithms for quantum circuit simulations and related HPC workloads. You will join an engineering team that collaborates with NVIDIA Research and product groups to advance quantum computing software. You will tackle performance and scalability challenges across GPUs, CPUs, and multi-node environments. This is an opportunity to shape libraries that accelerate quantum research and development at scale.\n\nCompensation / Benefitsequitybenefits packagecompetitive salarycareer growthflexible work optionsglobal team environment\nResponsibilitiesResearch and develop GPU-accelerated algorithms across multiple hardware generationsDevelop HPC algorithms to scale quantum circuit simulationsCollaborate with NVIDIA Research, Developer Technology, and Product Management on quantum computing, HPC, and ML areasEngage with external partners and researchers to capture use cases and requirementsProvide technical leadership and guidance to other engineersAnalyze performance of GPU/CPU/multi-GPU/multi-node implementations and identify improvements\nKey requirementsExcellent C++ and Python programming and software design, including functional and performance test designExperience programming for GPUs with multi-threading and multi-node MPI model, and hardware-aware optimizationExperience with agentic coding toolsProven track record in developing scientific software for quantum simulations (e.g., circuit simulators, compilers, hybrid computing)PhD or MSc in Computer Science, Applied Math, Physics, or related field (or equivalent experience)8+ years of experienceStrong collaboration, communication, and documentation skillsstrong collaborationexcellent communicationdocumentation skillsC++ programmingPython programmingGPU programming with multi-threading and MPI","datePosted":"2026-09-15T03:28:37.673Z","dateModified":"2026-09-15T03:28:37.673Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a9e019bf0f829c04b95542e0"},"url":"https://jobsearcher.com/jobs/a9e019bf0f829c04b95542e0"}}