Google Cloud is seeking a Software Engineer for their Hardware Product Catalog (PCat) team to develop and enhance an AI-based software catalog system. This role focuses on building and maintaining a catalog system that enables internal Google stakeholders to author and curate machine and rack configurations for forecasting and ordering compute, storage, and ML capacity.
The position offers an opportunity to work on critical projects within Google Cloud, combining software engineering with machine learning expertise. You'll be part of a team that develops next-generation technologies impacting billions of users, working across areas including distributed computing, large-scale system design, and artificial intelligence.
As a Software Engineer in this role, you'll collaborate with stakeholders on design and code reviews, develop ML pipelines, and solve complex business challenges involving AI model accuracy. The role requires expertise in ML infrastructure, including model deployment, evaluation, and optimization, along with strong software development skills.
The position offers competitive compensation including a base salary range of $118,000-$170,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for candidates with ML expertise who want to impact Google's infrastructure at scale while working with cutting-edge AI technologies.
The role is based in Kirkland, WA, and is ideal for candidates with experience in ML infrastructure, software development, and an interest in working on systems that power Google's data center capabilities. You'll be empowered to act like an owner, take action, and innovate while working on technologies that shape how billions of users interact with Google's services.