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Salary
≈ $120k – $239k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Middle · 2+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 23, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
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.

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.

In this role, you will be responsible for every subsystem in the Linux kernel that makes virtual machines run. Your work will directly impact how Google offers its services to billions of customers, and it is also the underlying foundation of the Google Compute Engine product portfolio. As a team of virtualization experts, you will participate in industry conferences and advocate initiatives that shape the future of this field.

Our Platforms Infrastructure Engineering team designs and builds the

hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers, affecting millions of Google users.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Plan, design, develop, test, and maintain IOMMU features across kernel and userspace.
  • Triage, investigate, and resolve IOMMU issues in the Linux kernel.
  • Improve security, reliability, and performance of IOMMU in the Linux kernel.
  • Engage the upstream community to improve the IOMMU support in Linux, support innovation, and meet Google's goals.
  • Collaborate within the team and across teams and organizations.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

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.
  • Experience in Kernel-Based Virtual Machine.
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