Staff Software Engineer, AI Platform

LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their AI Platform team. This role presents an exciting opportunity to work on cutting-edge AI infrastructure that powers LinkedIn's various AI applications, from recommendation systems to large language models.

The position focuses on scaling LinkedIn's AI model training, feature engineering, and serving infrastructure to handle models with hundreds of billions of parameters. You'll be working with state-of-the-art GPU technology and collaborating with open-source communities, including TensorFlow, Horovod, Ray, vLLM, and Huggingface.

As a Staff Software Engineer, you'll lead technical strategies for complex requirements, optimize performance across various layers of the AI stack, and mentor other engineers. The role requires expertise in distributed systems, machine learning infrastructure, and strong programming skills in languages like Python, Java, and C++.

The team operates in a hybrid work environment, allowing flexibility between remote work and office presence in Mountain View, CA, San Francisco, CA, or Bellevue, WA. LinkedIn offers competitive compensation ($156,000 - $255,000) along with comprehensive benefits including health coverage, equity, and performance bonuses.

This is an opportunity to shape the future of AI infrastructure at scale while working with talented teams of researchers and engineers. You'll be at the forefront of solving challenging technical problems in AI model training, feature engineering, and serving systems that impact millions of LinkedIn users.

The ideal candidate will have 8+ years of relevant experience, strong technical leadership skills, and a track record of building large-scale distributed systems. You'll be expected to contribute to open-source projects and help define the technical culture of the team.

Join LinkedIn to push the boundaries of AI technology while working in an inclusive environment that values diversity and promotes career growth. Your work will directly impact how professionals worldwide connect, learn, and advance their careers through AI-powered features and recommendations.