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Software Engineer III, AIX Inputs

Google • Operating Systems • Streaming & OTT Platforms • Bachelor's Degree • 9 hours ago

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Location

In office (Haifa)

Seniority

Middle · 2+ years exp

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 29, 2026. Google scores B on the Alion truth index.

Overview

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Impact

Profile match

Google

Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

google.com • HQ: Mountain View, United States • Streaming & OTT Platforms • Consumer Internet Groups • Foundation Models • Operating Systems • Cloud Platforms (IaaS & PaaS) • Video & Photo Sharing • Advertising • Search Engines • 11-50 employees • Est. 1998

Tech stack of Google

About the job

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.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

Conduct in-depth loss analyses, data exploration, and prototyping to identify high-leverage opportunities and quality headroom across Factuality, Helpfulness, and Freshness.
Design and implement scalable systems, ranking formulations, ML scorers, and prompt/signal augmentations to improve input ranking and end-to-end context selection for AIO and AIM.
Evaluate the impact of context and ranking changes on both input-level metrics and downstream AI answer quality-driving changes from offline autorater evaluations through Live Experiments to full production launch.
Work across a wide breadth of systems spanning Google’s iconic core Search retrieval and ranking stack through modern AI answer quality, ML modeling, and serving infrastructure such as MaRS and Gemini/Magi orchestration and evaluation pipelines
Partner closely with Web Ranking, 1P Verticals, Serving Infrastructure, and LLM Modeling teams to align Search signals and context engineering with evolving Gemini capabilities.

Qualifications

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.

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