Luma is seeking a senior performance engineer to accelerate its multimodal models. You will profile and optimize GPU, CPU, and accelerator code to train faster and deploy at scale without compromising quality.
You will write kernels and operations that extract maximum throughput from modern hardware. This is deep performance work requiring expertise in CUDA/Triton, transformer internals, and distributed multi-node deployment.
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The GPU Performance Scientist: Transformers & CUDA Kernels position in the IT & Technology field is open for applications.
This posting is for the GPU Performance Scientist: Transformers & CUDA Kernels role at Luma, based in Greater London, England, United Kingdom.
We are looking to fill the GPU Performance Scientist: Transformers & CUDA Kernels position at Luma in Greater London, England, United Kingdom.
The GPU Performance Scientist: Transformers & CUDA Kernels role at Luma is now open for applications in Greater London, England, United Kingdom.