Hiring: Sr. Staff Software Engineer, Systems Infrastructure Company: LinkedIn Location: Mountain View, CA Job Posted Time: 2026-09-02 22:39:25 Employment Type: Hybrid Target Skills & Keywords : Data Pipeline, LLM, Machine Learning, Make, TestNG About the job Required Skills: •This role will be based in Mountain View, CA, or New York City, CA. •At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. •This role sits at the intersection of distributed systems, data platforms, and machine learning, and is ideal for engineers who want to define how AI quality is measured at scale. The impact is company-wide: the systems you build will directly determine the quality ceiling, safety, and trustworthiness of every AI-powered experience at LinkedIn. •Own the technical vision, architecture, and execution of the Evaluation Operating System (EOS), solving complex, open-ended challenges at the intersection of distributed systems, data infrastructure, and machine learning. •Design and build large-scale evaluation infrastructure that enables LinkedIn teams to measure, understand, and continuously improve the quality, reliability, safety, and performance of AI agents and GenAI products. •Architect scalable data pipelines and platforms for capturing, processing, labeling, and managing large volumes of AI interactio Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!