GenAI ML Systems Engineer - Cloud Compute Infra

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

Benefits offered by this job

Equity

Benefits

Job summary

Google's software engineers are shaping next‑gen technologies that scale to billions of users. This role, based in Sunnyvale, contributes to Google Cloud with GenAI-enabled features and large-scale system design.

You will write product or system development code, collaborate through design reviews, and help optimize data processing and performance while maintaining quality and reliability.

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 (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 (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

Generative media

Education

Bachelor's degree or equivalent

Master's or PhD preferred

Job description

Google's software engineers are shaping next‑gen technologies that scale to billions of users. This role, based in Sunnyvale, contributes to Google Cloud with GenAI-enabled features and large-scale system design.

You will write product or system development code, collaborate through design reviews, and help optimize data processing and performance while maintaining quality and reliability.