Luma is seeking an engineer to build distributed training systems for its large-scale multimodal models across thousands of GPUs. You’ll work on difficult PyTorch, CUDA, and distributed-systems challenges to maximize stability and utilization in massive clusters.
Ideal candidates will have extensive experience with foundation-model training, GFP clusters, and the ability to implement advanced parallelization strategies while building robust monitoring and tooling.
#J-18808-Ljbffr
Full job description from WhatJobs. Apply for this role →
Luma is seeking an engineer to build distributed training systems for its large-scale multimodal models across thousands of GPUs.
London
Luma is building distributed training systems for large-scale multimodal models across thousands of GPUs, enabling researchers to focus on…
London
Luma is building distributed training systems for large-scale multimodal models across thousands of GPUs, enabling researchers to focus on…
London
You’ll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on…
London
You’ll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on…
London
You'll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on…
Explore: Engineering recruitment
Worked with Verifera as a candidate or employer? Your honest review helps the next person trust verified hiring.