NVIDIA is looking for an expert software engineer to help us deliver CUDA-X libraries across the NVIDIA CPU and GPU ecosystem. For over a decade, NVIDIA's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines. Did you know that our team develops the GPU/CPU-accelerated mathematical libraries that make all of this possible?

The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance. Our libraries follow CUDA Everywhere approach to let developers use highly-optimized mathematical operations on all hardware available in NVIDIA ecosystem. You will be part of a team designing, developing, and optimizing math libraries for the future. If you are passionate about designing modern HPC libraries and want to build software that will stand the test-of-time as it accelerates countless applications, we might have the dream job you have been waiting for!

What you'll be doing:

• Design modern, flexible, and easy to use APIs and kernels for math libraries and lead design reviews with all collaborators.

• Work closely with internal (e.g., Engineering, Product Management) and external partners such as researchers to understand their use cases and requirements.

• Work with internal and external customers to deliver timely math libraries releases.

• Become a domain expert by continuously surveying current trends in software systems.

What we need to see:

• PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field is preferred (or equivalent experience).

• 12+ years of experience designing and developing software for high-performance computing and/or AI applications.

• Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII).

• Parallel programming experience with CUDA, OpenCL or vector programming on CPU (AVX, NEON or similar).

• Strong collaboration, communication, and documentation habits.

• Experience with ARM, RISC-V and/or x86_64 CPU architectures.

Ways to stand out from the crowd:

• Strong background in numerical methods (e.g., FFT, numerical linear algebra).

• Programming skills with Python, and modern automation setups for both building software (e.g. cmake) as well as testing it (e.g. CI/CD, sanitizers).

• Background with cross-compilation, setting up CPU/GPU/accelerator (cross-)compilation toolchains and bringing existing codes to new architectures.

• Experience with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.

• Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!