Teams at Flexion Robotics

Develops human-data capture and integration pipelines for robotics foundation models and reinforcement learning. Responsibilities include reconstructing 3D objects and environments, creating simulation-to-real training environments, designing multimodal policy architectures, evaluating robot foundation models, and transferring human manipulation skills to dexterous hands and humanoid robots.

Own the design, provisioning, operation, and optimization of cloud-based GPU clusters supporting large-scale model training and inference. Partner with AI engineers to improve training performance and hardware utilization, contribute to ML libraries and infrastructure tooling, develop GPU compute strategies, optimize multi-cloud capacity and costs, and improve reliability, testing, documentation, and engineering practices.

Build and own infrastructure platforms, tooling, APIs, SDKs, and customer-facing applications that support large-scale humanoid robot deployments. Lead projects from design through rollout, shape architecture across teams, operate reliable backend systems, and improve testing, documentation, and engineering practices. Partner with research, robotics, and deployment teams while advancing AI-assisted development tooling.