Software Engineer III, Vertex AI, Hybrid Clouds

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related Machine Learning (ML) field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred Qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• 1 year of experience with Artificial Intelligence (AI) deployments.
• Experience in deploying AI on Kubernetes clusters.
• Knowledge of managing Large Language Models (LLM) in compute configuration.
• Knowledge of working of AI and the requirements for managing AI inference in a cluster.

What You'll Be Doing

• Deliver end-to-end features for Google Distributed Cloud (GDC) that deploy, manage the Gemini and other models.
• Deliver code and deploy into production.
• Build tests for code and automate running those tests.
• Code components to manage Kubernetes cluster in Golang.
• Add features to the management plane in Java.

Perks and Benefits

• Google's software engineers develop next-generation technologies
• Opportunities to switch teams and projects
• Collaborate with product teams for real-world impact