Senior ML Infra & AI Quality Engineer

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Sunnyvale seeks a Senior Staff Software Engineer for Gemini to design and scale large-scale distributed ML infrastructure, driving core components and accelerating AI adoption across Google Cloud Platform. You will influence architecture, implement quality gates, and mentor engineers in a fast-paced, cross-functional environment.

The role emphasizes leadership, strong software design, testing practices, and collaboration with Google Cloud, DeepMind, and the broader AI ecosystem to deliver

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Responsibilities

• Design, build, and scale large-scale distributed ML infrastructure and tooling.
• Lead the development of advanced AI quality components and evaluation workflows.
• Lead robust software design and automated testing practices and participate in on-call rotations.
• Coach and mentor junior and mid-level engineers and foster a high-performing team culture.

Skills

Software development

ML infrastructure

Reinforcement learning

Generative AI integration

Distributed systems design

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Sunnyvale seeks a Senior Staff Software Engineer for Gemini to design and scale large-scale distributed ML infrastructure, driving core components and accelerating AI adoption across Google Cloud Platform. You will influence architecture, implement quality gates, and mentor engineers in a fast-paced, cross-functional environment.

The role emphasizes leadership, strong software design, testing practices, and collaboration with Google Cloud, DeepMind, and the broader AI ecosystem to deliver