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Salary
≈ $19k – $55k per year (Estimated)
Location
In office (Taipei)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 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 Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 perform research, design and development for the hardware, software and networking technologies that power all of Google's products and services. You will work on solutions to deliver the next generation compute, storage and networking products for the Google worldwide data centers.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

  • Lead members to enhance the diagnostic infrastructure and manage the multiple tasks and projects for self and other members.
  • Keep the Google test fleet in perfect shape and maximize its usage.
  • Design, plan, implement and debug for diagnostic tools in Google Cloud platform for New Product Introduction (NPI) projects.
  • Design, plan, implement and debug for diagnostic infrastructure and provide technical support.
  • Enhance the quality, performance processes or coverage of the diagnostic tool or utility of Google Cloud Platform (GCP).

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in software development.
  • 3 years of experience with system programming and debugging.
  • 2 years of experience in leading and managing teams or projects.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience in developing software that interacts with hardware.
  • Experience in developing software for data center automation.
  • Experience with the Linux operation system.
  • Experience in developing software for High Performance Computing (HPC) manufacturing.
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