Staff Software Engineer, Storage AI/ML at Google

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with building and developing infrastructure, distributed systems or networks, or experience with compute technologies.
• 2 years of experience in a people mentorship supervision role.

Preferred qualifications:

• 8 years of experience testing, and launching software products.

• 5 years of experience with software design and architecture.

• Experience with AI/ML workloads, file systems and Linux kernel internals.

• Experience with cloud computing platforms (e.g., Google Cloud Platform, etc.).

• Experience writing high-quality Rust/Java/C++/Go code.

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.

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.

Responsibilities

• Deliver production-ready code for storage solutions that address the specific demands of AI/ML workloads.
• Design scalable and performant storage solutions. Drive the technical design for features, making data-driven decisions to optimize system efficiency and reliability.
• Identify and resolve performance issues and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and machine learning.
• Partner with product and engineering stakeholders across the storage domain to deliver high complexity features and products.
• Research into the existing usage, understanding API and service boundaries, identifying customer needs, and finding existing pain points.