Staff Software Engineer, ML Infrastructure, Applied AI
Google Sunnyvale, CA Full-time 3/31/2026 $207,000 - $300,000 a year
Undergraduate with 5+ Years of Experience
Approval 99%•Total filings 5,616•New hires 2,898•
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•FY 2025Job Description
Google is seeking a software engineer with extensive experience in infrastructure engineering and machine learning to develop high-performance, distributed systems for AI workflows. The role involves transitioning experimental models into production, optimizing system efficiency, and providing technical guidance while fostering a culture of engineering excellence.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development focusing on infrastructure engineering in C++.
- 5 years of experience with one or more of the following: speech/audio, reinforcement learning, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure.
- 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
Responsibilities
- Architect and build high-performance, distributed infrastructure to support agentic AI workflows.
- Take full ownership of the technology stack, transitioning experimental models into production services.
- Drive inference cost optimization and system efficiency by implementing efficient connectors and reducing latency.
- Provide technical guidance on system architecture and code quality.
- Maintain a tight loop between hypothesis and deployment by quickly prototyping new capabilities.
Benefits
- Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.
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