Staff Software Engineer — Data Pipelines & AI Systems

Google Inc.

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

3 days ago
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Job summary

Google DeepMind is seeking a Staff Software Engineer for Data Pipelines in Mountain View, CA. You will own the Gemini interface powering ML model responses, build robust data pipelines, and lead a high-tempo engineering team delivering AI-driven features.

The role requires extensive software development experience, strong design and architecture skills, and collaboration with UX, PM, and backend teams to translate product goals into scalable technical solutions.

Qualifications

  • > Bachelor’s degree or equivalent required.
  • > 8 years of software development experience.
  • > 5 years of testing and launching software products.
  • > 5 years of coding experience (Python, C/C++, TensorFlow, Java, Kotlin, SQL).
  • > 3 years of software design and architecture experience.
  • > Experience with Flume, data processing pipelines, SQL.

Responsibilities

  • Build systems for agent testing using 2D and 3D games.
  • Develop test problems within physics simulators.
  • Create graphical visualizations of results and leaderboards.
  • Test new algorithms on robots and compare performance.
  • Collaborate with ML/Neuroscience teams to advance AI agents.
  • Direct day-to-day execution of a high-tempo engineering team.

Skills

Software development experience
Python
C/C++
TensorFlow
Java
Kotlin
SQL
Testing & deployment
Software design & architecture

Education

Bachelor’s degree or equivalent

Tools

Flume
Data pipelines
SQL
TensorFlow

Job description

Google DeepMind is seeking a Staff Software Engineer for Data Pipelines in Mountain View, CA. You will own the Gemini interface powering ML model responses, build robust data pipelines, and lead a high-tempo engineering team delivering AI-driven features.

The role requires extensive software development experience, strong design and architecture skills, and collaboration with UX, PM, and backend teams to translate product goals into scalable technical solutions.

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