Position responsibilities

We are looking for a Numerical Computing Specialist to join our AI Infrastructure team in Paris. You will be part of a world-class R&D group working on next-generation infrastructure for large-scale AI models. In this role, you will focus on the core numerical computing challenges that enable efficient, accurate, and scalable model training and inference. We welcome candidates at multiple levels, including exceptional recent PhD graduates and experienced technical experts. Key Responsibilities • Conduct advanced research in numerical computing for large model training and inference • Design and implement techniques such as: o Sparse matrix computation o Low-rank approximation and tensor decomposition o Mixed precision computation and stability analysis o Quantization and dimensionality reduction • Collaborate closely with system, compiler, and parallelism experts to bring innovations into real-world systems • Publish in top-tier conferences or contribute to high-impact industrial solutions

Position Requirements

Required: • Solid background in numerical linear algebra, scientific computing, or applied mathematics • Proficiency in implementing and analyzing algorithms involving matrix/tensor computation • Strong coding skills in Python and/or C++, with experience using frameworks like PyTorch, TensorFlow, or JAX • Ability to read and write academic papers; fluent English required Preferred: • PhD in computer science, applied math, or related field (or equivalent experience in industry) • Research experience in one or more of the following: o Sparse/dense matrix algorithms o Mixed precision or adaptive precision methods o Model compression or efficient representation • Experience with AI compilers, numerical kernels (e.g., cuBLAS, CUTLASS), or HPC libraries • Publications at conferences such as NeurIPS, ICML, ICLR, SC, SIAM, etc.