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 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

• Partner with Tensor Processing Unit (TPU) software and hardware team and help design, develop and validate TPU based systems for standalone deployment.

• Build and integrate Cloud Compute software to bootstrap TPU Artificial Intelligence (AI) Infrastructure.

• Drive quality delivery of projects within the team.

• Collaborate with cross-functional leaders to shape the future of the Machine Learning (ML) infrastructure.

• Provide technical guidance and mentorship, promote the growth of team members.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience.

• 2 years of experience with software development in C++ or Python.

Preferred qualifications

• Experience with software for AI infrastructure, reference Operating System (OS), storage.

• Experience in working with cross-functional teams, including engineers, product managers, and technical program managers, with excellent communication skills.

• Experience with Machine learning and AI, with the knowledge of the hardware and software stacks.

• Knowledge of TPU Software and automation pipelines.

• Excellent problem-solving skills, with the ability to work in a changing, collaborative environment.