Sr. Staff Software Engineer, AI Infra

LinkedIn is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team, focusing on scaling large AI model training and serving capabilities. This role is at the forefront of LinkedIn's AI initiatives, working with cutting-edge technologies including LLMs, GNNs, and recommendation systems.

The position involves building and optimizing infrastructure that handles hundreds of billions of parameters models and large-scale feature engineering. You'll work with state-of-the-art GPU infrastructure, implementing solutions for model training, feature engineering, and serving across various AI use cases from recommendation models to computer vision.

As a technical leader, you'll drive the architecture and implementation of high-performance systems, collaborate with open-source communities, and mentor other engineers. The role offers exposure to advanced AI technologies and the opportunity to solve complex scaling challenges at one of the world's largest professional networks.

The hybrid work environment provides flexibility while maintaining strong team collaboration. You'll be part of a culture that values innovation, technical excellence, and career growth. The compensation package includes competitive base salary, annual bonus potential, equity, and comprehensive benefits.

This is an exceptional opportunity for an experienced engineer passionate about AI infrastructure to make a significant impact on LinkedIn's AI capabilities while working with cutting-edge technologies and talented teams. Your work will directly influence how millions of professionals connect and advance their careers through LinkedIn's AI-powered features.