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Dev and AI Infra Software Engineer, Release and Test Infra, XR

Google · Digital Media · Marketing Analytics & Attribution · Bachelor's Degree · Python · Go · Java · C++ · 4 days ago

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Salary

≈ $130k – $249k per year (Estimated)

Location

In office (San Jose)

Seniority

Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 12, 2026. Google scores B on the Alion truth index.

Overview

Company

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 · Digital Storage · Internet Services · Digital Media · Marketing Analytics & Attribution · 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

Backed by Y Combinator, Lightspeed Venture Partners, Seedcamp

About the job

Google's XR Team is responsible for building and maintaining Android XR, a platform supporting Augmented Reality (AR) and Virtual Reality (VR) technologies that can see and sense the world from the same vantage point as you, and interweave digital information onto the world around you. Our goal is to give people superhuman capabilities by making computing more perceptive, immersive, and accessible.For decades, the computing revolution has reshaped our world driven by

breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where

lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Design, implement, deploy, maintain, enhance, and stay abreast of the latest complex software solutions that improve the developer workflow, code quality, and release velocity.
Lead the technical design and implementation of projects, making key architectural and technical decisions to scale the build and release infrastructure and ship XR software updates to external partners and end users.
Define and track metrics to measure the impact of tools and process improvements on developer productivity and system health, increasingly leveraging AI/ML.
Develop and integrate AI-powered features into developer tools to assist with code generation, code review, test generation, bug detection and triaging, and more.
Collaborate closely with various engineering teams to understand their needs, gather requirements, and drive the adoption of new tools and best practices. Contribute to and lead design reviews, and discussions on system architecture.

Qualifications

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience programming in Python, Java, Go, or C++.
5 years of experience in developing developer tools, automation frameworks, testing infrastructure, or CI/CD and release systems.
3 years of experience with software design, development, and architecture.
Experience applying AI/ML techniques to software engineering problems.

Preferred qualifications:

Expertise in Large Language Models (LLMs), and experience with platforms/tools like Gemini or other AI-driven development assistants.
Expertise in branch and release infrastructure management.

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