March 31, 2025

Software Engineer, Engineering Productivity, Silicon

Mid • On-site

$141,000 - $202,000/yr

Mountain View, CA

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience with software development in Typescript and Python.
Experience working with a cloud platform.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
Experience in Angular, Terraform, Puppet.
Experience with high performance computing tools and infrastructure.
Interest in learning customer workflows, identifying pain points, and designing/implementing creative solutions to them.
Excellent system design skills.

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 Silicon Infrastructure team is responsible for building and operating foundational tooling and infrastructure on which Google uses to develop custom silicon. You will closely work with partner and Client teams to eliminate pain points, improve quality and development velocity. You will plan solutions with Client teams and senior staff.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Design creative solutions to complex problems, leveraging Engineering Productivity domain knowledge.
Create web applications with Typescript and Python to automate processes.
Design systems to improve efficiency of globally distributed high performance computing infrastructure.
Improve development efficiency across the silicon organization and possibly Google-wide through tooling improvements.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.