GenAI Software Engineer III - AI/ML & Deployment

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

Job summary

Google is seeking software engineers for roles in Sunnyvale to drive next-generation AI-powered products and scalable systems. You will deploy and optimize models, collaborate across teams, and help advance information access and user experiences at massive scale.

Required are strong Python or C++ coding skills, ML infrastructure experience, and understanding of GenAI concepts. The role includes competitive compensation, equity, and benefits.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and 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 (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.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Python

C++

ML infrastructure

GenAI concepts

Education

Bachelor's degree

Master's degree

Job description

Google is seeking software engineers for roles in Sunnyvale to drive next-generation AI-powered products and scalable systems. You will deploy and optimize models, collaborate across teams, and help advance information access and user experiences at massive scale.

Required are strong Python or C++ coding skills, ML infrastructure experience, and understanding of GenAI concepts. The role includes competitive compensation, equity, and benefits.