Teams at UMA

This open candidate position invites individuals passionate about Robotics and AI to propose innovative ideas and solutions in a fast-paced startup environment.

Lead research on world models, planning, and reasoning for humanoid robots. Design and run experiments in simulation and on hardware, own data processing, model training, evaluation, and integration with control stacks, and document and mentor engineers to ship real-world capabilities.

Own and scale UMA’s compute infrastructure for large-scale AI training, evaluation, and data-processing workloads. Responsibilities include multi-provider GPU capacity, cloud scheduling, distributed training frameworks, checkpointing, preemption, virtualized development environments, observability, reliability, cost optimization, and provider relationships. The role requires hands-on operation of production-grade GPU clusters and may grow into leadership of the compute infrastructure team.