Staff Software Engineer, AI/ML, Google Cloud

Google•Sunnyvale, CA

1d•$207,000 - $300,000

About The Position

Google’s software engineers develop technologies that change how users connect, explore, and interact with information. Engineers work on projects critical to Google, with opportunities to move between teams and projects as the business evolves. The role calls for versatility, leadership, and enthusiasm for solving problems across the full stack. This position is part of Google’s AI and Infrastructure team, which delivers AI and infrastructure capabilities at scale, efficiency, reliability, and velocity for Google customers, Googlers, and users worldwide. The team supports AI model development, computing for global services, and platforms for developers, including work involving TPUs, Vertex AI for Google Cloud, global networking, data center operations, and systems research. The Staff Software Engineer will design, develop, test, deploy, maintain, and enhance large-scale software solutions; provide technical leadership on high-impact projects; and lead work in specialized machine-learning areas. The role also includes optimizing ML infrastructure and guiding model optimization and data-processing strategies. In most instances, the hiring process includes in-person interviews. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience in one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing end-to-end machine learning, such as model deployment, model evaluation, data processing, debugging, and fine-tuning.
5 years of experience testing and launching software products.
3 years of experience with software design and architecture.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional or cross-business projects.

Responsibilities

Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Influence and coach a distributed team of engineers.
Lead the design and implementation of solutions in specialized ML areas.
Optimize ML infrastructure and guide the development of model optimization and data-processing strategies.