Distributed Training Engineer Multimodal Models

Luma is seeking an engineer to design and optimize distributed training systems for multimodal models across thousands of GPUs. You will tackle advanced parallelism, training stability, and utilization at scale.

You will work with PyTorch, CUDA, NCCL, and Tensor Parallel, building monitoring and tooling for large-scale runs. This role suits someone who has shipped foundation-model training at scale and can improve stability and efficiency on massive clusters.

As a Distributed Training Engineer for Multimodal Models, you will play an important part at Luma in Redwood City, CA, United States.

This opportunity is for the Distributed Training Engineer for Multimodal Models role at Luma.

We are seeking a motivated Distributed Training Engineer for Multimodal Models to join Luma in Redwood City, CA, United States.

Consider building your career as a Distributed Training Engineer for Multimodal Models at Luma.