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.
In this role, you will design and implement software for bootstrap and configure the compute or storage components, OS image deployment and node specific software as agents or offload computation, integrating with both TPU clusters and cloud infrastructure.
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.
Responsibilities
- Collaborate with TPU Software and Hardware teams and help design, develop and validate TPU based systems for standalone deployment.
- Build and integrate Cloud Compute software to bootstrap TPU AI Infrastructure.
- Drive high-quality, timely delivery of projects within your team.
- Partner with cross-functional leaders to shape the future of ML infrastructure.
- Mentor team members by providing technical guidance and fostering their growth.
Qualifications
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 2 years of experience in software development in languages such as C++.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Science, or related technical fields.
- Experience working with cross-functional teams, including engineers, product managers, and technical program managers.
- Knowledge of machine learning and AI, including the underlying hardware and software stacks.
- Familiarity with software for AI infrastructure, reference OS, and storage.
- Understanding of cloud or data center compute, and storage technologies.
- Excellent problem-solving and communication skills, with the ability to grow in a fast-paced, collaborative environment.