Senior Software Engineer, Distributed ML Infrastructure at Google

Seniority in posting: Advanced

Compensation

$207,000 – $300,000/yr

Location: Sunnyvale, California
Type: Full-time
Level: senior
Posted: Sep 11, 2026

Description

Google is hiring a senior software engineer to design, build, and scale large-scale distributed machine-learning infrastructure and tooling for Gemini and Google Cloud Platform AI initiatives. The role leads AI quality components, automated testing, production reliability, and software architecture while mentoring engineers and collaborating across Google Cloud, DeepMind, and the external AI ecosystem. It requires a bachelor’s degree or equivalent practical experience, 8 years of software development experience, and extensive experience in testing, software design, architecture, and machine-learning infrastructure, with a stated US salary of $207,000–$300,000 plus a 20% bonus target, equity, and benefits.

Required Skills

Distributed systems
ML infrastructure
Automated testing
Software architecture
Generative AI
Reinforcement learning

Additional Information

Minimum Education: Bachelor’s degree or equivalent practical experience
Required Previous Experiences: 8 years of software development experience
5 years testing and launching software products
3 years of software design and architecture experience
5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML field
5 years of ML design and ML infrastructure experience
Experience integrating generative AI tools or LLM interfaces into workflows
Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field
8 years of experience with data structures and algorithms
3 years of technical leadership experience leading project teams and setting technical direction
3 years of experience in a complex, matrixed organization with cross-functional or cross-business projects