{"schemaVersion":"jobsearcher.job.v1","id":"0d58287ba043b606cd43fb9f","url":"https://jobsearcher.com/jobs/0d58287ba043b606cd43fb9f","canonicalUrl":"https://jobsearcher.com/jobs/0d58287ba043b606cd43fb9f","title":"Deep Learning Compiler Engineer","description":"Overview\nIn this role you will contribute to CUDA Tile, a tile-based programming model in CUDA 13.1, by designing compiler transformations and lowering passes to optimize tile-based kernels across NVIDIA GPUs. You will work with MLIR-based dialects, define public APIs, and drive performance improvements in a fast-paced, product-focused team. This position offers the chance to impact deep learning workloads and the broader GPU software stack. You’ll join a collaborative, innovative environment that values technical excellence and practical solutions.\n\nCompensation / Benefitsbase salary range 152,000 USD - 241,500 USDequitycomprehensive benefits packageremote work optionscareer growth opportunities\nResponsibilitiesDesign and implement compiler transformations for CUDA TileDevelop MLIR-based dialects and lowering passesOptimize tile-based kernel performance across multiple GPU generationsDefine public APIs and contribute to compiler/optimization techniquesEngage in general software engineering tasks including testing and debugging\nKey requirementsBachelors, Masters or Ph.D. in Computer Science, Computer Engineering or related field (or equivalent)3+ years in compiler optimization, performance analysis and IR designStrong C/C++ programming, debugging, performance analysis and test designAbility to work independently and lead development effortsStrong interpersonal skills for a dynamic, product-oriented teamstrong collaborationself-motivationeffective communicationMLIRLLVMXLA","company":"NVIDIA","rawCompany":"nvidia","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:56:49.321Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Deep Learning Compiler Engineer","description":"Overview\nIn this role you will contribute to CUDA Tile, a tile-based programming model in CUDA 13.1, by designing compiler transformations and lowering passes to optimize tile-based kernels across NVIDIA GPUs. You will work with MLIR-based dialects, define public APIs, and drive performance improvements in a fast-paced, product-focused team. This position offers the chance to impact deep learning workloads and the broader GPU software stack. You’ll join a collaborative, innovative environment that values technical excellence and practical solutions.\n\nCompensation / Benefitsbase salary range 152,000 USD - 241,500 USDequitycomprehensive benefits packageremote work optionscareer growth opportunities\nResponsibilitiesDesign and implement compiler transformations for CUDA TileDevelop MLIR-based dialects and lowering passesOptimize tile-based kernel performance across multiple GPU generationsDefine public APIs and contribute to compiler/optimization techniquesEngage in general software engineering tasks including testing and debugging\nKey requirementsBachelors, Masters or Ph.D. in Computer Science, Computer Engineering or related field (or equivalent)3+ years in compiler optimization, performance analysis and IR designStrong C/C++ programming, debugging, performance analysis and test designAbility to work independently and lead development effortsStrong interpersonal skills for a dynamic, product-oriented teamstrong collaborationself-motivationeffective communicationMLIRLLVMXLA","datePosted":"2026-09-15T04:56:49.321Z","dateModified":"2026-09-15T04:56:49.321Z","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":"0d58287ba043b606cd43fb9f"},"url":"https://jobsearcher.com/jobs/0d58287ba043b606cd43fb9f"}}