HPC Researcher - AI Infrastructure

HPC Researcher - AI Infrastructure We are partnered with a well known global tech company based in Paris headhunting a highly skilled Numerical Computing specialist to join their AI Infrastructure team. The team are a world-class R&D group dedicated to developing next-generation infrastructure for large-scale AI models. In this role, you will address core numerical computing challenges to enable efficient, accurate, and scalable model training and inference. Here are some of the Key Responsibilities: Conduct advanced research in numerical computing for large model training and inference. Design and implement innovative techniques, such as: Sparse matrix computation, Low-rank approximation and tensor decomposition, Mixed precision computation and stability analysis, and Quantization and dimensionality reduction. Collaborate closely with system, compiler, and parallel computing experts to integrate innovations into real-world systems. Qualification & Requirements: PhD in Computer Science, Applied Mathematics or related field. Strong background in numerical linear algebra, scientific computing, or applied mathematics. Proven ability to implement and analyse algorithms involving matrix/tensor computation. Strong coding skills in Python and/or C++, with experience using AI frameworks such as PyTorch, TensorFlow, or JAX. Experience with AI compilers, numerical kernels (e.g., cuBLAS, CUTLASS), or HPC libraries Publications in leading conferences such as NeurIPS, ICML, ICLR, SC, SIAM, etc. Key Words: Numerical Algorithms / Matrix algorithms / Tensor Computation / Jax / PyTorch / Numerical Kernels / HPC / Compilers / Model Compression / Efficient Representation By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice https://eu-recruit.com/about-us/privacy-notice/

Location: Paris, FR

Posted Date: 8/19/2025