Principal Staff Engineer, AI Infrastructure

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. We’re hiring a Principal Staff Software Engineer to lead LinkedIn’s GPU-Based Retrieval Platform, a foundational AI infrastructure stack that powers candidate generation and retrieval across Feed, Ads, Search, Talent, and other critical product experiences. The platform sits on the hot path of billions of member interactions each day, making this one of the highest-leverage technical leadership roles within LinkedIn’s AI Infrastructure organization. In this role, you will own the platform’s technical direction and architecture end to end, spanning large-scale indexing and retrieval, low-latency distributed serving, GPU scheduling, memory efficiency, batching, and kernel-level optimization. You will drive improvements in throughput, tail latency, retrieval quality, reliability, and cost, directly influencing member engagement, business outcomes, and AI engineer productivity across the company. The GPU-Based Retrieval Platform