HPC Engineer

HPC Engineer - 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

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