Luma seeks an engineer to build and optimize distributed training systems for multimodal models across thousands of GPUs. You will tackle advanced parallelism, training stability, and utilization across massive clusters to empower researchers with reliable, scalable infrastructure.
This role focuses on real problems at scale, including FSDP, multi-node training, and efficient communication. You will develop monitoring tools and automation to keep large runs stable and productive.
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Distributed Training Engineer for Large-Scale GPU Clusters employer: Luma
At Luma AI, we pride ourselves on being an innovative employer that fosters a dynamic and collaborative work culture. As an Executive Assistant in the UK, you will play a pivotal role in shaping our operational strategies while enjoying opportunities for personal and professional growth in a fast-paced environment. With a commitment to expanding human imagination through cutting-edge technology, we offer a unique chance to make a meaningful impact alongside a passionate team dedicated to transforming the creative landscape.
