SeniorSoftwareEngineer,CUDACoreLibraries

NVIDIA’s accelerated computing platform is the foundation of modern HPC and AI.At the core of this platform are the CUDA Core Libraries. C++ and Python libraries that enable developers to write fast, reliable, and scalable GPU-accelerated software! We are hiring a full-time Software Engineer to work on the CUDA Core Libraries that power GPU computing for both C++ and Python developers. This includes projects such as CCCL (Thrust, CUB, libcudacxx), cuda-python, and numba-cuda. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers across deep learning, scientific computing, and data analytics! **What you’ll be doing:** * Develop and implement CUDA Core Libraries in C++ and/or Python, including parallel algorithms and idiomatic language bindings for core CUDA functionality. * Compose, optimize, and evolve GPU algorithms and APIs, from high-level interfaces down to low-level performance tuning involving memory, parallelism, and synchronization. * Own features end-to-end: develop, implementation, testing, benchmarking, documentation, and long-term maintenance. * Improve developer experience across the stack: CI, tests, benchmarks, packaging, examples, and docs. * Collaborate with senior CUDA engineers in design reviews, code reviews, and open-source-style workflows. * Engage with real users through issues, performance investigations, and API feedback. **What we need to see:** * BS, MS, or PhD in Computer Science, Computer Engineering, or a related field or equivalent experience. * Minimum of 8+ years of related development experience * Strong programming skills in C++, Python, or both, with proven interest in systems-level software (performance, memory, concurrency, API design). * Solid understanding of modern C++ (templates, generics, standard library) and/or Python library development and packaging. * Practical experience with parallel or heterogeneous progra