Software Engineer, Performance & AI Infrastructure

Google Inc.; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Inc. in Sunnyvale, CA is seeking a Software Engineer III for Performance, AI and Infrastructure to design, develop, and optimize large-scale systems and AI-enabled services.

The role emphasizes collaboration, code reviews, and ownership across full-stack development, with opportunities to lead design reviews and contribute to Tensor/Vertex AI related platforms. Strong background in C++ or Python and performance analysis is expected.

Qualifications

• 2 years of experience programming in C++ or Python.
• 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
• Bachelor’s degree or equivalent practical experience.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Skills

C++

Python

Performance analysis

Large-scale systems

Debugging

Visualization tools

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Inc. in Sunnyvale, CA is seeking a Software Engineer III for Performance, AI and Infrastructure to design, develop, and optimize large-scale systems and AI-enabled services.

The role emphasizes collaboration, code reviews, and ownership across full-stack development, with opportunities to lead design reviews and contribute to Tensor/Vertex AI related platforms. Strong background in C++ or Python and performance analysis is expected.