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AI Engineer Jobs
Google

Software Engineer, AI Storage

Google

Location
Onsite (Sunnyvale, CA)
Compensation
$147k - $210k/yr
Employment
Full-time
Level
Mid Level
Posted 2 weeks ago

About the Role

Join the Google Distributed Cloud SDS team to build robust, scalable storage solutions for AI and Gemini workloads in edge environments. As a Software Engineer, you will develop large-scale infrastructure and distributed systems using GKE and Kubernetes.

Skills

Software development Distributed systems Storage systems Go C++ Java Kubernetes Container orchestration Microservices Hardware architecture Data storage Debugging System design Cloud computing Infrastructure

Benefits

  • Health Insurance

Perks

  • Bonus
  • Equity

Full job details

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.
  • Experience in designing, developing, and maintaining large-scale storage systems, distributed databases, or file systems.
  • Experience in writing and maintaining code in programming languages, including Go, C++, or Java.
  • Experience in container orchestration, microservices, and deploying distributed systems using Kubernetes.

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.

Join the Google Distributed Cloud SDS team and build the future of storage enabling AI in edge environments. Our mission is to deliver a robust, scalable, and performant storage solution for Google Distributed Cloud and beyond, enabling customers to run their most demanding stateful applications, including AI and Gemini workloads, at the hybrid environment. We build solutions for Google's containerized environment, powered by Google Kubernetes Engine (GKE), addressing complex issues in the evolving world of distributed systems. As a Software Engineer on our early-stage team, you will have a unique opportunity to shape our technical direction, build an exceptional team, and make a significant impact on a rapidly growing product.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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:

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • 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.