Senior Staff Software Engineer, AI Infrastructure, Google Cloud, Applied AI

About the role

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

Responsibilities

• Architect and build high-performance, distributed infrastructure to support agentic AI workflows. Ensure low-latency agentic systems for real-world enterprise loads.
• Take full ownership of the tech stack, transitioning experimental models into robust production services. Ensure system reliability, observability, and fault tolerance in complex, multi-agent environments.
• Iterate rapidly on customer needs by identifying product gaps and implementing missing features. Translate vague user requirements into concrete, engineering-driven solutions that directly improve the user experience.
• Provide technical guidance on system architecture and code quality.
• Foster a culture of engineering excellence through design reviews, code audits, and the adoption of best practices.

Qualifications

• Master’s degree or PhD in Computer Science, or a related field with a focus on Systems or AI (preferred).
• Bachelor’s degree or equivalent practical experience.
• Experience with Artificial Intelligence, Distributed Systems, LLMs and High Performance Computing (preferred).
• Experience with C++ (minimum).

Pay

$262,000 - $365,000 (USD) + 25% bonus target + equity + benefits

Schedule

Full-time

Benefits

Learn more about benefits at Google.