Genesis seeks a senior ML infrastructure engineer to design and optimize distributed training systems on multi-node GPU clusters. You will push wall-clock time to convergence by profiling, refining data pipelines, and low-level kernels in CUDA/CuDNN/Triton.
You will build scalable PyTorch-based workflows, balance CPU/GPU workloads, and develop monitoring tools to diagnose performance regressions at scale.
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Lead AI Training Infrastructure Engineer in London 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.
