Staff Software Engineer — AI-Driven, Scalable Systems Leader

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking software engineers to build next-generation technologies spanning information retrieval, distributed systems, AI, and UI for billions of users. Our teams push the boundaries of AI and enterprise-scale software, offering opportunities to switch projects as our needs grow.

You’ll work as an early member of a small, AI-native team focused on turning ambitious ideas into reliable, user-friendly products. Coding agents and rapid experimentation are part of daily practice.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of experience with full stack development across back-end and front-end.
• 3 years of experience with software design and architecture.
• 1 year of experience taking technical consumer products from conception to launch.

Responsibilities

• Propose and land innovative ways of interacting with AI for knowledge processing and sensemaking.
• Drive alignment and output in an undefined product area.
• Bridge AI models with reliability and scale required for production Google systems.

Skills

Software development

Testing & launching

Full stack development

Software design & architecture

Concept to launch experience

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

Java

Python

Golang

C++

JavaScript/TypeScript

Job description

Google is seeking software engineers to build next-generation technologies spanning information retrieval, distributed systems, AI, and UI for billions of users. Our teams push the boundaries of AI and enterprise-scale software, offering opportunities to switch projects as our needs grow.

You’ll work as an early member of a small, AI-native team focused on turning ambitious ideas into reliable, user-friendly products. Coding agents and rapid experimentation are part of daily practice.