Software Engineer III, Search, AI/ML

Google•Cambridge, MA

2h•$147,000 - $210,000

About The Position

Google software engineers develop technologies used by billions of people to connect, explore, and interact with information. This role is on Google Search, where the team works to reimagine search and address complex engineering challenges while expanding infrastructure and maintaining an accessible, useful experience for people around the world. The engineer will work on software that mitigates access-related security risks within Search and contribute to reliable systems across the full development lifecycle. The role calls for versatility, collaboration, leadership qualities, and enthusiasm for taking on new problems. AI fluency is expected in daily engineering workflows, and candidates should be prepared to discuss their knowledge and use of AI tools during the hiring process.

Requirements

Bachelor’s degree or equivalent practical experience.
At least 2 years of software development experience in C++.
Experience designing, building, or operating large-scale distributed systems.
Experience in software architecture, system design, and full-cycle software implementations.

Nice To Haves

Master’s degree or PhD in Computer Science or a related technical field.
Experience in data privacy, data protection, or secure data handling practices.
Experience in policy compliance, regulatory frameworks, or governance.
Experience in database querying, data extraction, and analysis using SQL.
Experience in log analysis, system monitoring, and technical troubleshooting in large-scale or distributed environments.

Responsibilities

Design, implement, and maintain robust, well-tested software across the development lifecycle to mitigate external and internal access-related security risks within Search.
Author technical design documents, participate in code reviews, and drive debugging and testing efforts to ensure high system reliability.
Translate high-level team goals into actionable tasks and align daily work with quarterly objectives and key results (OKRs) to deliver project milestones with peer engineers, T/PgMs, and other stakeholders.
Communicate effectively, support peers, and foster a collaborative and safe environment.
Bring AI fluency to daily engineering workflows.