Frontend Engineer — AI Infrastructure Platform

About this role

Your profile We are looking for a Senior Frontend Engineer to build the frontend of our AI infrastructure platform. Clients use our platform to access and operate two technical products, and the role is to make those products understandable, reliable, and powerful through high-quality frontend engineering. This is not a standard SaaS frontend role and not the usual one-page-application frontend job. You will work on a technical B2B platform where the frontend must represent complex infrastructure workflows, system states, data-heavy interactions, and product logic in a way that expert users can trust and use efficiently.

Responsibilities Own frontend implementation for key areas of the AI infrastructure platform, covering both Scheduler and Simulator. Build the Scheduler experience for live operational workflows: real-time infrastructure state, workload placement, utilization, throughput, bottlenecks, alerts, and remediation paths. Build the Simulator experience for planning workflows: hypothetical buildouts, scenario comparison, capacity planning, cost-performance modeling, and ROI-oriented decision support.

Develop shared frontend components and product patterns that make both products feel coherent while supporting different mental models for live operations and exploratory simulation. Translate complex concepts such as GPU topology, heterogeneous accelerators, scheduling decisions, resource allocation, utilization tradeoffs, latency, power, and cost into robust frontend workflows and visualizations. Implement data-dense interfaces that are scannable, responsive, trustworthy, and useful for technical users without becoming a spreadsheet, generic admin UI, or Grafana-style wall of charts.

Partner closely with product, backend, infrastructure experts, and leadership to understand technical constraints and turn them into customer-facing frontend solutions. Contribute to frontend architecture, component quality, state management, performance, accessibility, testing, and maintainability across the platform. Work with APIs, data models, real-time or near-real-time states, error states, loading states, permissions, and edge cases that are critical in infrastructure products.