Remote Training Infra Engineer Distributed GPU

Luma in San Francisco is seeking a Research Scientist/Engineer for their Training Infrastructure team to design and optimize distributed training systems for large-scale multimodal models. This position requires substantial experience with distributed PyTorch training and working with GPU clusters. The ideal candidate will contribute to advanced parallelization techniques and tool development. The base pay range for this role is $187,500 – $395,000 per year, with remote work options available. #J-18808-Ljbffr