Google is seeking a Senior Software Engineer to join their Cloud Technical Infrastructure team, focusing on AI/ML technologies. This role combines software engineering expertise with machine learning specialization, working on critical infrastructure that powers Google's vast array of services.
The position requires deep expertise in both software development and machine learning, with a particular focus on ML infrastructure including model deployment, evaluation, optimization, and data processing. The successful candidate will be part of the team that builds and maintains the backbone of Google's technical infrastructure, ensuring optimal performance and scalability of ML systems.
This is an exceptional opportunity for experienced engineers who want to work at the intersection of cloud infrastructure and artificial intelligence. The role offers competitive compensation ($166,000-$244,000 base salary plus bonus and equity) and the chance to work on technology that impacts billions of users globally.
Key responsibilities include developing and testing code, collaborating on design and code reviews, contributing to technical documentation, and implementing solutions in specialized ML areas. The ideal candidate will have strong software engineering fundamentals combined with deep ML infrastructure expertise.
The position offers the opportunity to work in either Kirkland, WA or Sunnyvale, CA, at the heart of Google's technical operations. You'll be part of a team that's proud to be "engineers' engineers," working on cutting-edge technology that powers Google's extensive product portfolio.
This role is perfect for someone who combines technical excellence with a passion for machine learning and infrastructure, offering the chance to work on challenging problems at massive scale while collaborating with some of the best engineers in the industry. The position comes with Google's comprehensive benefits package and the opportunity to shape the future of cloud and AI technologies.