Google is a leading technology company that develops next-generation technologies impacting billions of users. They are seeking a Software Engineer to work on scalable agentic infrastructure, focusing on performance and reliability while collaborating on various projects and contributing to AI advancements.
Write high-quality product or system development code for scalable agentic infrastructure, focusing on performance and reliability in distributed environments
Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Contribute to and maintain technical documentation or educational content; adapt materials based on AI product updates and developer feedback
Triage system issues and debug, track, and resolve issues by analyzing the impact on network performance, service operations, and AI model quality
Implement solutions in specialized ML areas (e.g., agent orchestration), utilize ML infrastructure, and contribute to model optimization and data processing for generative AI
Qualification
Required
Bachelor's degree in computer science, mathematics, statistics, a related technical field, or equivalent practical experience
2 years of experience with software development in one or more programming languages (e.g., Python, C++, Java), or 1 year of experience with an advanced degree
1 year of experience with one or more of the following: speech/audio technology, reinforcement learning, or specialization in another ML field
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, and debugging)
Experience in writing unit and integration tests to ensure the accuracy and efficiency of production-level code
Preferred
Master's degree or PhD in computer science, artificial intelligence, or a related technical field
2 years of experience with advanced data structures, algorithms, and system design for high-throughput cloud services
Experience working with Large Language Models (LLMs), agentic workflows, or frameworks for autonomous AI agents
Experience building or maintaining services on distributed cloud platforms (e.g., Google Cloud Platform) and managing session persistence in stateful applications
Experience developing accessible technologies or tools that ensure AI-driven interfaces are usable by a range of users
Benefits
Bonus
Equity
Benefits
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
