Staff Software Engineer — AI-Driven, Scalable Systems Leader

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Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

4 days ago
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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.

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