Software Engineer III, AI Infrastructure, TPU, Cloud Storage
6 hours ago
- 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++.
- Master's degree or PhD in Electrical Engineering, Computer Science or related technical fields.
- Familiarity with software for AI infrastructure, reference OS, storage.
- Understanding of cloud or data center compute, storage technologies.
- Ability to develop deep knowledge in machine learning and AI, including the underlying hardware and software stacks.
- Excellent problem-solving skills with the ability to grow in a fast-paced, collaborative environment.
- Excellent communication skills along with experience working with cross-functional teams, including engineers, product managers, and technical program managers.
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 manage information at a 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.
Responsibilities:
- Collaborate with TPU Software (SW) and Hardware (HW) team 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.
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