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What you'll be doing:
Design modern, flexible, and easy to use APIs 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.
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).
3+ 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 or OpenCL.
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Experience using graph compilers and/or Just In Time compilation workflows (e.g. XLA, LLVM, MLIR, Numba, NVRTC).
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).
Experience with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.
Strong background in numerical methods (e.g., FFT, numerical linear algebra).
Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.
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