Model Development: Design and pretrain large-scale geospatial foundation models that handle diverse spatial resolutions, sensor types, and temporal signals in a single architecture.
Pretraining at Scale: Build and optimize distributed training pipelines across massive XPU clusters. Debug throughput, fix bottlenecks, push utilization.
