We’re building a general AI for humanoid robots using world-model-based reinforcement learning trained on large-scale real-world data.
This is a founding engineer role. You’ll work directly with the founders and own core parts of the training and data systems.
Work - Build data pipelines for large-scale multimodal robot datasets - Scale pre- and post-training runs to large GPU clusters - Improve inference efficiency on low-power embedded systems
Stack: Python, PyTorch, Kubernetes, Ray, Lance, dora-rs
Contact: alex [at] tau-robotics.com