---
title: Senior Staff Software Engineer, Youtube Ads Client
description: Google is hiring for the Senior Staff Software Engineer, Youtube Ads Client Rendering
  Infrastructure role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/senior-staff-software-engineer-youtube-ads-client-rendering-infrastructure-at-google-01a18326-fdde-7c53-a861-005528861a21
date: 2026-11-15T01:26:44Z
og_description: Join Google as Senior Staff Software Engineer, Youtube Ads Client Rendering Infrastructure
  in Mountain View, CA.
og_image: https://www.foundrole.com/og/5oz8ci.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | Mountain View, CA |
| **Salary** | $262K/yr - $364K/yr |
| **Posted** | Oct 28, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $179,000 – $254,000 a year (median $213,000).

## Description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.  

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.  

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits  

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

- Influence and coach a distributed team of engineers.
- Provide technical leadership on high-impact projects.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.

### Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience with design and architecture; and testing/launching software products.

### Preferred qualifications:

- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience with design and architecture; and testing/launching software products.
## Skills

- Hardware Architecture
- Technical Leadership
- Technical Direction
- Algorithms
- Software Development
- Computer Science
- Data Structures
- Distributed Systems

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