Staff Software Engineer, Google Cloud Storage, AI/ML

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.

As a Storage Staff Software Engineer in the datapath team, you will design and implement advanced storage solutions tailored for AI/ML workloads on Google Cloud Platform. You will address complex system design challenges, develop production-ready code, and contribute to fast-paced incubation projects. Your role involves developing benchmarks, resolving performance issues and collaborating with cross-functional teams to bridge storage infrastructure with evolving AI/ML demands, from training to inference.
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.

• Design and implement high-complexity features, delivering robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.

• Architect scalable and performant storage solutions, driving the technical design for features and making data-driven decisions to optimize system efficiency and reliability.

• Adapt to fast-paced development cycles for new technical domains.

• Identify and resolve performance bottlenecks and intricate system issues, developing 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.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience developing performance oriented storage solutions, including datapath modules.