Luma is building distributed training systems for its large-scale multimodal models. This role focuses on PyTorch, CUDA, and advanced parallelism across thousands of GPUs, delivering reliable, scalable infrastructure so researchers can innovate.
You will design and optimize training systems, implement FSDP, Tensor Parallel, Pipeline Parallel, and Expert Parallel, and build monitoring and debugging tools to improve stability and utilization.
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Senior Distributed ML Systems Engineer 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.
