18 days ago
Remote, EMEASenior
Responsibilities
- Design and build large-scale rendering systems for modern web applications.
- Develop browser-based 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, JavaScript execution in browsers, rendering lifecycle and page readiness, headless browser execution, and browser instrumentation.
- Experience with Chrome DevTools Protocol, 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 building high-throughput content-processing pipelines, designing distributed systems, contributing to open source, or delivering conference talks and technical publications.
- Must complete coding interviews as part of the hiring process.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment with talented teams.
- Applicants must be authorized to work in the country where they apply and must provide proof of employment eligibility at hire.
Tech Stack
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.