2 months ago
Prague, Czechia +4 moreSenior / Staff+
Responsibilities
- Design and build large-scale rendering systems for modern web applications.
- Develop browser-based rendering infrastructure that reliably executes complex JavaScript applications.
- Research how modern frontend frameworks render and deliver content.
- Improve rendering quality, completeness, and performance across diverse websites.
- Optimize rendering cost, latency, resource utilization, and throughput at internet scale.
- Translate rendering research into reliable production systems.
Requirements
- At least 5 years of experience as a software engineer working on production backend or infrastructure systems.
- Expertise in several areas including browser rendering, the Chromium rendering pipeline, browser JavaScript execution, headless browser execution, browser instrumentation, and the Chrome DevTools Protocol.
- Experience with Playwright, Puppeteer, Selenium, or similar frameworks.
- Knowledge of modern web applications and frontend architectures including React, Vue, Angular, Svelte, server-side rendering, client-side rendering, streaming rendering, single-page applications, and progressive web apps.
- Understanding of resource loading, lazy loading, and modern JavaScript bundles.
- Strong candidates may have experience with high-throughput content processing pipelines, distributed systems design, performance optimization, open-source contributions, engineering communities, conference talks, or technical publications.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
- Coding interviews are part of the hiring process.
Benefits
- Competitive compensation (amount not stated)
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Tech Stack
Categories
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.