About this role
Work across the full robot learning pipeline to design, train, evaluate, and deploy learned policies for manipulation and whole-body control, iterating between simulation and physical robots. Own training infrastructure and tooling for large-scale model training, distributed GPU workloads, debugging, and experiment analysis while collaborating with controls, embedded, and hardware teams.
Skills for this role
Robot LearningPolicy LearningImitation LearningReinforcement LearningVLA-style architecturesVideo Learning Architectures (VLAs)Learning-Augmented ControlRobot ManipulationWhole-body ControlDeployment to Physical RobotsSimulation-to-real transferMultimodal Data ProcessingLarge-scale Model TrainingDistributed TrainingGPU ClustersPyTorchJob SchedulingCheckpointingMetrics and LoggingDebugging and VisualizationExperiment AnalysisControl SystemsEmbedded SystemsProtobufMCAP