{"schemaVersion":"jobsearcher.job.v1","id":"fdd9fd2feb8baf1e2a1ed073","url":"https://jobsearcher.com/jobs/fdd9fd2feb8baf1e2a1ed073","canonicalUrl":"https://jobsearcher.com/jobs/fdd9fd2feb8baf1e2a1ed073","title":"Senior Software Engineer, CUDA Rust Core Libraries","description":"Senior Software Engineer, CUDA Rust Core Libraries (Finance)\r\nNVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. We are hiring a Senior Software Engineer to develop the Rust experience for CUDA Core Libraries. You will design safe, idiomatic Rust APIs for GPU computing while integrating closely with native C/C++ components. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.\r\nWhat you'll be doing:\r\nDesign and implement idiomatic Rust libraries and APIs for foundational CUDA functionality and GPU algorithms.\r\nBuild safe Rust abstractions over native CUDA and C/C++ interfaces.\r\nDevelop and maintain the C/C++ components required to support Rust-facing functionality.\r\nEstablish safe and efficient interoperability between Rust and C/C++, including interfaces that support downstream Python integration.\r\nOptimize performance across Rust, native C/C++, and GPU execution boundaries.\r\nOwn features end-to-end: design, implementation, testing, profiling, benchmarking, documentation, packaging, release, and maintenance.\r\nImprove the Rust developer experience through examples, diagnostics, build integration, compatibility testing, CI, and collaboration with C/C++, Python, compiler, and runtime engineers.\r\nWork with users to investigate and resolve issues related to safety, correctness, usability, compatibility, and performance.\r\nWhat we need to see\r\nBS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.\r\n8+ years of relevant software development experience.\r\nStrong production programming skills in Rust and C/C++, with deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code.\r\nExperience developing systems libraries, runtime components, and developer-facing APIs.\r\nPractical knowledge of foreign-function interfaces and integrating Rust with C/C++ software.\r\nSolid understanding of systems software concepts, including performance, concurrency, and API design.\r\nExperience with parallel, heterogeneous, or GPU programming.\r\nExperience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.\r\nAbility to work independently, define scope, and drive complex projects to completion.\r\nStrong written communication skills and ability to work effectively in large, multi-language codebases (Rust, C/C++, build systems, toolchains, CI).\r\nWays to stand out from the crowd\r\nStrong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).\r\nProficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.\r\nExperience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.\r\nExperience designing safe Rust abstractions over low-level or asynchronous systems, including exposure to Python interoperability.\r\nDemonstrated interest in developer tools, library design, and improving developer productivity\r\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\r\nYou will also be eligible for equity and benefits .\r\nApplications for this job will be accepted at least until July 27, 2026.\r\nThis posting is for an existing vacancy.\r\nNVIDIA uses AI tools in its recruiting processes.\r\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\r\nJ-18808-Ljbffr","company":"Nvidia In","rawCompany":"nvidia in","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-12T00:51:38.006Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, CUDA Rust Core Libraries","description":"Senior Software Engineer, CUDA Rust Core Libraries (Finance)\r\nNVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. We are hiring a Senior Software Engineer to develop the Rust experience for CUDA Core Libraries. You will design safe, idiomatic Rust APIs for GPU computing while integrating closely with native C/C++ components. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.\r\nWhat you'll be doing:\r\nDesign and implement idiomatic Rust libraries and APIs for foundational CUDA functionality and GPU algorithms.\r\nBuild safe Rust abstractions over native CUDA and C/C++ interfaces.\r\nDevelop and maintain the C/C++ components required to support Rust-facing functionality.\r\nEstablish safe and efficient interoperability between Rust and C/C++, including interfaces that support downstream Python integration.\r\nOptimize performance across Rust, native C/C++, and GPU execution boundaries.\r\nOwn features end-to-end: design, implementation, testing, profiling, benchmarking, documentation, packaging, release, and maintenance.\r\nImprove the Rust developer experience through examples, diagnostics, build integration, compatibility testing, CI, and collaboration with C/C++, Python, compiler, and runtime engineers.\r\nWork with users to investigate and resolve issues related to safety, correctness, usability, compatibility, and performance.\r\nWhat we need to see\r\nBS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.\r\n8+ years of relevant software development experience.\r\nStrong production programming skills in Rust and C/C++, with deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code.\r\nExperience developing systems libraries, runtime components, and developer-facing APIs.\r\nPractical knowledge of foreign-function interfaces and integrating Rust with C/C++ software.\r\nSolid understanding of systems software concepts, including performance, concurrency, and API design.\r\nExperience with parallel, heterogeneous, or GPU programming.\r\nExperience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.\r\nAbility to work independently, define scope, and drive complex projects to completion.\r\nStrong written communication skills and ability to work effectively in large, multi-language codebases (Rust, C/C++, build systems, toolchains, CI).\r\nWays to stand out from the crowd\r\nStrong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).\r\nProficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.\r\nExperience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.\r\nExperience designing safe Rust abstractions over low-level or asynchronous systems, including exposure to Python interoperability.\r\nDemonstrated interest in developer tools, library design, and improving developer productivity\r\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\r\nYou will also be eligible for equity and benefits .\r\nApplications for this job will be accepted at least until July 27, 2026.\r\nThis posting is for an existing vacancy.\r\nNVIDIA uses AI tools in its recruiting processes.\r\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\r\nJ-18808-Ljbffr","datePosted":"2026-08-12T00:51:38.006Z","dateModified":"2026-08-12T00:51:38.006Z","hiringOrganization":{"@type":"Organization","name":"Nvidia In","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fdd9fd2feb8baf1e2a1ed073"},"url":"https://jobsearcher.com/jobs/fdd9fd2feb8baf1e2a1ed073"}}