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About the role
Staff Software Engineer, YouTube Developer Infrastructure Explicitly requires vibe coding techniques and building Generative AI developer tools to fix infra tests and improve developer workflows. About the Role Staff Software Engineer on the YouTube Developer Infrastructure team building applied Generative AI tools and developer infrastructure to improve quality, velocity, and partner success. The role focuses on designing, developing, testing, and deploying developer-facing AI tooling (including LLMs and multi-modal agents) and driving site-specific initiatives for YouTube Bengaluru. Key Responsibilities Work with site leadership and organization executives on sitespecific priorities for YouTube Bengaluru initiatives (e.g., applied AI, verticals). Build applied AI products and developerfacing Generative AI tools to improve developer productivity and test/infra quality. Design, develop or adopt key developer Generative AI tools and vibe coding techniques to fix developer infrastructure tests and achieve team OKRs. Ideate, design and develop applied AI products for YouTube developers, including quality multimodal agents. Manage project priorities, deadlines, and deliverables across the development lifecycle (design, develop, test, deploy, maintain, enhance). Requirements Bachelors degree or equivalent practical experience. Minimum 8 years of software development experience. Strong experience with objectoriented programming, templates, and the C++ Standard Template Library (STL). Experience in working on Large Language Models (LLMs) or AI/ML quality problems (preferred). Experience in multiple programming languages (e.g., Java, C++, Python) (preferred). Experience with performance testing tools and methodologies, integration testing, tools development, and performance tuning (preferred). Experience with largescale distributed systems, system design, algorithms, and data structures (preferred). Ability to learn new AI frameworks, prototype solutions, and drive results. Skills ObjectOriented Programming, System Design, Algorithms, Data Structures, Performance Tuning, Integration Testing, Tools Development, Prototyping, Project Management, Leadership, Ability to learn new frameworks Employment Type Fulltime Equal employment opportunity Accommodations for applicants with disabilities Opportunities to switch teams and projects Staff Software Engineer, YouTube Developer Infrastructure Explicitly requires vibe coding techniques and building Generative AI developer tools to fix infra tests and improve developer workflows. About the Role Staff Software Engineer on the YouTube Developer Infrastructure team building applied Generative AI tools and developer infrastructure to improve quality, velocity, and partner success. The role focuses on designing, developing, testing, and deploying developer-facing AI tooling (including LLMs and multi-modal agents) and driving site-specific initiatives for YouTube Bengaluru. Key Responsibilities Work with site leadership and organization executives on sitespecific priorities for YouTube Bengaluru initiatives (e.g., applied AI, verticals). Build applied AI products and developerfacing Generative AI tools to improve developer productivity and test/infra quality. Design, develop or adopt key developer Generative AI tools and vibe coding techniques to fix developer infrastructure tests and achieve team OKRs. Ideate, design and develop applied AI products for YouTube developers, including quality multimodal agents. Manage project priorities, deadlines, and deliverables across the development lifecycle (design, develop, test, deploy, maintain, enhance). Requirements Bachelors degree or equivalent practical experience. Minimum 8 years of software development experience. Strong experience with objectoriented programming, templates, and the C++ Standard Template Library (STL). Experience in working on Large Language Models (LLMs) or AI/ML quality problems (preferred). Experience in multiple programming languages (e.g., Java, C++, Python) (preferred). Experience with performance testing tools and methodologies, integration testing, tools development, and performance tuning (preferred). Experience with largescale distributed systems, system design, algorithms, and data structures (preferred). Ability to learn new AI frameworks, prototype solutions, and drive results. Skills ObjectOriented Programming, System Design, Algorithms, Data Structures, Performance Tuning, Integration Testing, Tools Development, Prototyping, Project Management, Leadership, Ability to learn new frameworks Employment Type Fulltime Equal employment opportunity Accommodations for applicants with disabilities Opportunities to switch teams and projects
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