Genesis in London is seeking an senior ML infrastructure engineer to drive down wall-clock time in foundation model training. You will design, build, and optimize distributed training systems (PyTorch) for multi-node GPU clusters, ensuring scalability and high utilization.
You’ll implement low-level code (CUDA, cuDNN, Triton) and integrate into training frameworks, optimize CPU/GPU balance, memory and data throughput, and develop monitoring tools for large-scale runs.
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Senior AI Infrastructure Engineer - Distributed GPU Training employer: Genesis
At Technip Energies, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. Our London office is at the forefront of the energy transition, providing employees with unique opportunities to contribute to high-impact projects in the Power Generation sector while enjoying a supportive environment that prioritises professional growth and environmental responsibility.
