Performance Systems Engineer - AI & Infra at Scale

Google LLC; Sunnyvale (CA); In loco; USD 147.000 - 210.000; Tempo pieno

Descrizione del lavoro

Google LLC in Sunnyvale, CA, USA, is seeking software engineers with strong C++ or Python skills to design, develop, test, and deploy high-scale systems. The role focuses onPerformance analysis, data handling, and reliable software health across distributed infrastructure.

The team emphasizes leadership qualities, cross-team collaboration, and resolving complex issues with innovative AI and infrastructure approaches. In-person interviews are common as part of the process.

Competenze

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

Mansioni

• 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.

Conoscenze

C++

Python

Performance analysis

Large-scale systems

Data visualization

Debugging

Formazione

Bachelor's degree

Master's degree or PhD (preferred)

Descrizione del lavoro

Google LLC in Sunnyvale, CA, USA, is seeking software engineers with strong C++ or Python skills to design, develop, test, and deploy high-scale systems. The role focuses onPerformance analysis, data handling, and reliable software health across distributed infrastructure.

The team emphasizes leadership qualities, cross-team collaboration, and resolving complex issues with innovative AI and infrastructure approaches. In-person interviews are common as part of the process.