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.
Platforms Storage is responsible for building storage solutions for all of Google's services (e.g., Artificial Intelligence/Machine Learning (AI/ML) Systems, Cloud, Search, Photos, YouTube etc.). The team designs and develops the platforms' software and solutions for NAND flash, Solid-State Drives (SSDs), storage appliances, and next-generation storage technologies. We develop firmware, kernel drivers, system software, tools and security solutions optimized for Google’s services. We develop qualification frameworks, solutions and processes working with the vendors. We are responsible for maintaining and ensuring supply for all the flash in Google’s fleet.
In this role, you will contribute to enhancing the capabilities in all of the areas.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Provide technical leadership on storage software projects to define, design, develop and deploy efficient and scalable SSD-based systems, software and devices.
- Influence and coach a distributed team of software engineers. Review deliverables and processes to ensure high quality with velocity, and exemplary teamwork.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines on these projects.
- Manage project priorities, deadlines, and deliverables, with clear cross-organizational stakeholder communication. Anticipate and resolve technical as well as operational problems, both direct and via partnerships.
- Identify innovation opportunities in the storage domain, influence executive leadership to invest, energize peers to contribute, and drive these improvements to completion.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
- Experience in C, kernel, firmware or other low-level software design, development, test, debug and deployment.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 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 with Python, SQL, and scripting languages and tools.
- 3 years of experience with working in a structured organization involving cross-functional, or cross-business projects.
- Experience in storage systems, kernel drivers, embedded systems, solid-state drives, performance analysis and optimization.