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Senior Software Engineer (Agentic Search) – Web Rendering (Chromium)

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Remote from
Europe, Israel
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
27 Nov 2026
Listing views
56
Application actions
3
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AI Summary

The role, at a glance.

Nebius is seeking a senior software engineer to build and operate a customized Chromium-based rendering platform for an agent-native search engine. The role centers on modifying Chromium internals—including Blink, V8 integration, compositing, and networking—to reduce browser fleet CPU, memory, and startup costs without compromising web compatibility. The engineer will also develop production systems for launching, pooling, recycling, monitoring, and isolating browser processes at large scale. Success requires deep C++ and Linux systems expertise, browser-engine knowledge, performance profiling, and practical experience operating browsers in production. The environment is technically demanding, fast-moving, and focused on infrastructure supporting AI search and retrieval.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a highly specialized systems role requiring changes to a complex browser codebase while preserving correctness across the modern web. It combines low-level C++, browser architecture, Linux performance engineering, and large-scale production operations.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$190,000
US market range (per year)$150k–$240k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Nebius does not disclose an employer pay range. The displayed figures are estimated annual USD market compensation for a senior engineer with specialized Chromium, C++, browser-runtime, and large-scale systems expertise; the yearly cadence is inferred from the senior full-time engineering role.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you identify and reduce the CPU and memory cost of rendering a page in a Chromium fleet?

I would begin with representative workload traces and establish per-page baselines for CPU time, RSS, startup latency, renderer lifetime, and crash rates. Using perf, Chromium tracing, flame graphs, and heap diagnostics, I would isolate the dominant costs across navigation, JavaScript execution, style/layout, paint, compositing, and network activity. I would then test targeted changes behind measurable experiments, such as disabling unnecessary decoding or raster work, tuning process reuse, and validating both cost reduction and site compatibility.

What browser behaviors could break if image decoding, GPU work, and rasterization are disabled?

Pages may rely on image dimensions, load events, canvas behavior, CSS background images, media queries, WebGL, screenshots, or APIs whose timing is affected by paint and compositing. I would distinguish pixel production from layout and script-visible semantics, preserve required DOM, style, layout, animation-frame, and observer behavior, and build compatibility tests against representative sites. Any optimization would include fallbacks or capability-based policy when it changes observable page behavior.

How would you detect and contain a page script that never yields?

I would enforce layered limits: navigation and task watchdogs, renderer CPU-time and wall-clock budgets, memory limits, and process-level isolation. Instrumentation should identify long-running tasks and correlate them with the page, frame, and script execution context where possible. Once a threshold is breached, the system can terminate or recycle the renderer, capture diagnostics, classify the failure, and ensure the browser pool remains healthy.

How would you maintain a large patch set when Chromium releases a new version?

I would keep patches small, independently testable, and documented by subsystem and upstream dependency. Automated rebasing and build pipelines should compile the new revision, run targeted unit and integration tests, execute web-compatibility regressions, and compare performance benchmarks before rollout. Where possible, I would upstream generic changes or reduce patch surface area, while using a staged deployment process for high-risk browser changes.

How would you determine that a modern, dynamically loaded page is sufficiently complete for indexing?

I would use a policy combining lifecycle signals rather than relying on network idle alone. Signals could include DOM stability, meaningful-content readiness, pending network classes, framework hydration behavior, elapsed time, and activity from timers or long-polling connections. The completion policy should be configurable by site or workload class, bounded by hard time and resource limits, and evaluated against retrieval-quality outcomes.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream.

In this position, your responsibility will be to

  • Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page
  • Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do
  • Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render
  • Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling
  • Build the production system around it: how browsers are launched, pooled, recycled and monitored

You may be a good fit if you

Have 5+ years of experience building production systems, and are an expert in several of the following areas.

Inside the browser

  • Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus)
  • Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service
  • Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases

Performance and systems

  • Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs
  • Linux process isolation and resource management, concurrency, and memory management
  • Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went

Strong candidates may also have experience with

  • Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine
  • Building or maintaining a patched browser that you wrote the patches for
  • Browser instrumentation, including the Chrome DevTools Protocol
  • Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration)
  • Distributed systems, Kubernetes, and Go or Python

The kind of problems you will work on

  • Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser?
  • Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render?
  • A page runs a script that never yields. How do we detect and stop it without help from the page?
  • Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks?
  • Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling.

We conduct coding interviews as part of the process.

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What’s it like to work at Nebius:

Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Apply now >

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