Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.

• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

• Experience with Large Language Models, NLP, or Generative AI.

Preferred qualifications:

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

• Experience developing accessible technologies.

• Excellent coding skills in C or C++.

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.

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.

Responsibilities

• Develop, test, and help deploy and debug the system software for Tensor Processing Units (TPUs) system including Linux Kernel, Driver, Firmware, Power, Thermal, and Test development.

• Contribute to all aspects of development including requirements definition, design, implementation, unit testing, and integration to ensure high quality deliverables.

• Design and implement the system software to support various workloads, and manageability needs.

• Design and implement tools for automating diagnostics, performance evaluation, and reliability assurance for servers.

• Collaborate with hardware, manufacturing, data center operations team, and external partners to plan and execute the engineering programs, including product development and productivity improvements.