AI Training Systems Engineer (Distributed HPC)

Genesis AI in Paris seeks a senior ML infrastructure engineer to optimize distributed training stacks across data pipelines and GPU kernels. You will design, build, and optimize multi-node PyTorch systems for scalable, robust performance.

Responsibilities include implementing low-level CUDA/cuDNN/Triton code, balancing CPU-GPU workloads, and developing monitoring tools to diagnose performance regressions, ensuring high hardware utilization in large-scale runs.