This is a start up-style role with broad ownership across AI development, data collection, robot integration, testing, failure analysis, and continuous performance improvement. The ideal candidate is comfortable working across disciplines and taking ideas from early experimentation through to real-robot deployment.
We are looking for a hands-on Embodied AI Engineer with experience in robot learning to develop, fine-tune, deploy, and validate intelligent behaviors on physical humanoid robots.
Data Engineering and Integration: Build the data and knowledge pipelines required for AI use cases, with a focus on reliable ingestion, preparation, retrieval, and access-control-aware use of information.
As a GPU Infrastructure Network Engineer, you will play a key role in designing, operating, and optimizing high-performance networking environments that power large-scale AI and GPU cloud platforms. You will work closely with infrastructure, cloud, and operations teams to ensure reliable and scalable network services for mission-critical AI workloads.