Requirements

Optional technologies

Kubernetes

Our 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 decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Optional

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures or algorithms.
• 1 year of experience with scaling AI deployments.
• Experience in deploying AI on Kubernetes clusters.
• Knowledge of running Large Language Models (LLM) at scale in confidential compute configuration.
• Understanding of how AI works and the requirements for running AI inference in a cluster.

Your responsibilities

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