GenAI Infra Software Engineer, Cloud ML

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

Job summary

Google Sunnyvale, CA is seeking a software engineer to help design and deploy GenAI-powered products. The role focuses on scalable systems, ML infrastructure, and cross-functional collaboration with product and research teams.

You will write production-grade code in Python or C++, contribute to model deployment and evaluation, and help optimize data processing and system performance in a fast-paced environment at Google Cloud scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
• Experience with core GenAI concepts (Large Language Models, Multi-Modal, Large Vision Models).
• Experience with text, image, video, or audio generation.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Python

C++

ML infrastructure

GenAI concepts

GenAI generation

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google Sunnyvale, CA is seeking a software engineer to help design and deploy GenAI-powered products. The role focuses on scalable systems, ML infrastructure, and cross-functional collaboration with product and research teams.

You will write production-grade code in Python or C++, contribute to model deployment and evaluation, and help optimize data processing and system performance in a fast-paced environment at Google Cloud scale.