Das ist der Job
C++ and Python libraries that enable developers to write fast, reliable, and scalable GPU-accelerated software!
Darum lohnt es sich
Senior Software Engineer, CUDA Core Libraries page is loaded## Senior Software Engineer, CUDA Core Librarieslocations: Germany, Remote: Germany, Munichtime type: Full timeposted on: Posted Todayjob requisition id: JR2014754NVIDIA’s accelerated computing platform is the foundation of modern HPC and AI.At the core of this platform are the CUDA Core Libraries.
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.
* Lesen Sie alle Informationen zu dieser Stelle sorgfältig durch und verwenden Sie dann die Schaltfläche "Bewerbung", um Ihren Lebenslauf und Ihre Bewerbung abzuschicken.
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.
