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.
As a part of the Google Cloud Storage’s, your mission is to provide the most trusted planet-scale storage system, with reliability, efficiency, performance, and simplicity.
As a part of the Storage AI/ML Solutions team, you will be dedicated to exploring, architecting and developing next-generation storage solutions for the AI/ML ecosystem. You will bridge the gap between core storage infrastructure and the evolving demands of AI/ML workloads, from large-scale training to high-performance inference. You will deliver innovative solutions and sharing performance insights through benchmarks, enable customers to achieve optimal results and solidify Google Cloud Platform (GCP's) position as the premier platform for AI/ML.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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
- Design and implement high-complexity features, deliver production-ready code for storage solutions that address the specific demands of AI/ML workloads.
- Architect scalable and performant storage solutions, apply data-driven decisions to optimize system efficiency and reliability.
- Diagnose and resolve performance bottlenecks and intricate system issues, develop innovative, practical solutions to technical issues that arise at the intersection of storage and ML.
- Collaborate with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubation’s output aligns with broader Google Cloud goals.
Qualifications
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 and data path modules.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Preferred qualifications:
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.