Software Engineer III, ML Infrastructure, Core ML

Google•Sunnyvale, CA

About The Position

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. Our team is dedicated to ensuring that highest priority training jobs are running on Alphabets ML compute fleet at all times. With near infinite demand for TPU resources and an ever changing engaged landscape, it is mission critical to prioritize access to these training resources in novel dynamic ways. In this role, you will have an opportunity to impact Alphabets ML/AI training efforts at scale through our projects and products. 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.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Nice To Haves

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
2 years of experience with the C++ programming language.
1 year of experience building Machine Learning infrastructure.
Passion for building infrastructure and ecosystems to support ML researchers/developers.

Responsibilities

Write product or system development code.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Work on resource management, from how accelerators are allocated to Product Areas across the company, to the end user who needs to find what hardware is available to them, or who wants to run a workload on a specific TPU chip.
Work on ML workload prioritization.
Work on market algorithms, develop advanced mechanisms to price accelerators, helping users make the most of their budgets.