Research Scientist Engineer Training Infrastructure
Luma AI develops multimodal creative AI agents, video and image generation models, and an API for generative media workflows.
Maintainer signals as of 9/25/2026
Funding history
About Luma AI
Luma AI is an active AI company whose Luma Agents product plans, generates, iterates, and refines creative work across video, image, audio, and text. Its first-party materials describe proprietary Ray video and Uni image models, as well as developer API access.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, implement, and optimize distributed training systems across thousands of GPUs. You will develop advanced parallelization, improve training stability and resource utilization, and build monitoring, visualization, and debugging tools for large-scale training runs.
Requirements
- Extensive distributed PyTorch training and parallelism experience for foundation-model training
- Deep understanding of GPU clusters, networking, and storage systems
- Familiarity with NCCL, MPI, and distributed-system optimization
Responsibilities
- Design, implement, and optimize distributed training systems across thousands of GPUs
- Research and implement FSDP, Tensor Parallel, Pipeline Parallel, and Expert Parallel
- Build monitoring, visualization, and debugging tools for training runs
- Optimize training stability, convergence, and resource utilization across large clusters