Software Engineer, TPU, Machine Learning Supercomputer

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

• Understanding of distributed systems concepts.
• Knowledge of common Machine Learning (ML) algorithms and how they map to software and hardware operations.
• Knowledge of networking especially at the link layer along with routing algorithms and topologies.
• Ability to build backend software for high performance computing and ML applications.

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 manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Design and maintain Tensor Processing Unit (TPU) supercomputer software across different layers of the software stack to control, monitor, build, deploy, qualify and serve the TPU supercomputing systems.
• Manage the whole lifecycle across both computing and networking components for Google’s Artificial Intelligence (AI) supercomputer/hypercomputers.
• Create system-level debuggability and observability tools in partnership with key stakeholders, ensuring alignment and functionality across the stack.
• Collaborate with Silicon, Software, Site Reliability, and Operations teams to drive reliability improvements and address issues across the entire TPU stack.