Senior Software Engineer - AI & GenAI Systems (Equity)

Google

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

37 hours ago
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Job summary

Google's software engineers develop next‑generation technologies that change how billions connect, explore, and interact with information. This SWE role sits in AIR within Platforms and Devices and focuses on building AI-powered software engineer agents to reduce developer toil across Google.

You will work across cross‑functional teams, tackle large‑scale systems, and switch projects as needs evolve. Individual pay reflects skills, experience, and education, with a USD salary, bonus target,

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with Python software development.
  • 3 years testing, maintaining, or launching software products, and 1 year experience with software design and architecture.
  • 3 years experience with ML infrastructure (model deployment, evaluation, data processing, debugging).
  • 1 year experience with GenAI techniques or related concepts.

Responsibilities

  • Partner with Researchers and Product teams to build emerging AI capabilities for SWE Agents.
  • Work in startup mode.
  • Identify developer pain points and develop novel user experiences; run experiments to improve agent quality; collaborate with cross-functional partners.
  • Cultivate a respectful, collaborative team environment.

Skills

Python
GenAI concepts
Data structures & algorithms
Software design & architecture
ML infrastructure
Cross-functional collaboration

Education

Bachelor’s degree or equivalent practical experience
Master's degree or PhD (preferred)

Job description

Google's software engineers develop next‑generation technologies that change how billions connect, explore, and interact with information. This SWE role sits in AIR within Platforms and Devices and focuses on building AI-powered software engineer agents to reduce developer toil across Google.

You will work across cross‑functional teams, tackle large‑scale systems, and switch projects as needs evolve. Individual pay reflects skills, experience, and education, with a USD salary, bonus target,

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