Senior AI/ML Infrastructure Engineer

Google LLC; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Senior Software Engineer in AI/ML within the AI and Infrastructure team, focusing on scalable AI models, TPU development, and Vertex AI services. The role emphasizes cross-team collaboration, architectural skills, and delivering high-impact ML infrastructure at scale.

Applicants should have strong Python/C++ programming experience and hands-on ML system design. In-person interviews are common, with multiple eligible locations nationwide, including Sunnyvale, Seattle, Mountain

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 3 years of experience with end-to-end Machine Learning infrastructure (model deployment, evaluation, processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content.
• Triage product or system issues and debug/resolve affecting hardware, network, or service operations.
• Design and implement solutions in one or more ML areas and leverage ML infrastructure.

Skills

Python

C++

Software design

ML infrastructure

Speech/RL

Education

Bachelor's degree or equivalent

Job description

Google is seeking a Senior Software Engineer in AI/ML within the AI and Infrastructure team, focusing on scalable AI models, TPU development, and Vertex AI services. The role emphasizes cross-team collaboration, architectural skills, and delivering high-impact ML infrastructure at scale.

Applicants should have strong Python/C++ programming experience and hands-on ML system design. In-person interviews are common, with multiple eligible locations nationwide, including Sunnyvale, Seattle, Mountain