About the job

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.

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 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

• Integrate with low level systems to build a comprehensive coverage for qualification. Build the diagnostic workflow and burn-in test to qualify the Tensor Processing Unit (TPU) machines.
• Build dynamic configuration to scale the features to support different NPI configurations. Contribute to simulation environment and continuous regression and integration testing pipeline.
• Work closely with the platform, Product Management and stakeholders to launch NPI planned, drive the testing framework and build automation to scale multiple NPIs.
• Deliver high quality code, and timely projects while working with a cross-functional team.
• Build and develop different configurations of TPU Pods and provide lifecycle management for TPU slices and partitions.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with embedded systems, system engineering, Basic Input/Output System (BIOS) or low-level firmware development.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.

• 5 years of experience with data structures and algorithms.

• 4 years of experience with software design, architecture, testing, and launching software products.