Agility Robotics Benefits Overview

Build and scale the ML infrastructure platform for humanoid robotics, including data processing, training, evaluation, deployment, model management, observability, and reproducible workflows. Develop cloud-native Kubernetes workflows, model registries, feature stores, experiment tracking, developer APIs, CLI tools, and ML CI/CD systems. Collaborate with AI researchers, robotics engineers, and data platform teams while mentoring junior engineers and shaping platform architecture, reliability, and scalability.

Lead bring-up and integration of robotic subsystems (power, compute, perception, torso) into full humanoid systems; design and scale integration tests, drive cross-functional root-cause analysis, build diagnostic tools and processes, and mentor engineers to ensure stable prototype delivery and system performance.

Lead planning, execution, and delivery of the robot skills roadmap. Translate product strategy into executable plans, manage cross-functional dependencies, optimize agile processes using tools like Jira, and guide manipulation and perception capabilities from prototyping to pilot-ready production. Communicate program health and risks to leadership and support customer deployments.