Software Engineer, Virtual Storage (Mandarin, English)

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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.
  • Ability to communicate in Mandarin and English fluently, to partner with local clients and regional partners.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience developing accessible technologies.
  • Experience in storage and virtualization technologies.
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.

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 force behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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
  • Write, test, and maintain robust product or system development code for core Google Compute Engine storage connectivity features, providing high-speed access to both ephemeral local storage and replicated network-based storage.
  • Partner closely with teams responsible for the storage layer to proactively identify and resolve performance bottlenecks, driving tangible, high-impact improvements for Google Cloud customers.
  • Design and implement solutions utilizing APIs to high-performance network storage across a virtualized interface, contributing directly to the team's evolution toward higher bandwidth and lower latency storage solutions.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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