UX Engineer (AI and Applications)
Core
Define and deliver intuitive, coherent, and technically credible user experiences for AI infrastructure and AI-powered services, translating complex capabilities into clear workflows and actionable interfaces.
Role type
Senior UX Engineer (AI Infrastructure & Cloud Platforms)
Builds
AI Cloud Portal, Global Operations Console, Bare Metal as a Service, Kubernetes as a Service, and future XaaS products
Domain
AI Infrastructure, Cloud Computing, Energy-Efficient Compute
Deliverable
product features
Required skills
UX design, front-end engineering, product thinking, user discovery, workflow analysis, information architecture, prototyping, dashboard design, agentic system design, human-in-the-loop workflow design
Preferred skills
AI-platform understanding, knowledge of GPU capacity and Kubernetes, experience with scheduler decisions and telemetry visualization
Technologies
AI Cloud Portal, Global Operations Console, Bare Metal as a Service, Kubernetes as a Service
Responsibilities
Own end-to-end UX design and front-end experience quality for the AI Cloud Portal and related services; Conduct user discovery and workflow analysis with key personas including AI researchers and cloud administrators; Translate product requirements and technical constraints into user journeys, wireframes, and production-ready interfaces; Design self-service experiences for provisioning and managing bare-metal GPU capacity and Kubernetes environments; Create usable interface patterns that explain proprietary scheduler decisions and agentic operations; Design Model-to-Grid experiences to help users understand resource and scheduling outcomes; Shape the Global Operations Console for monitoring fleet-level AI-factory operations; Make complex infrastructure status and telemetry actionable through dashboards and guided troubleshooting; Design safe and trustworthy human-in-the-loop workflows for agentic operations.