Principal Staff Software Engineer, AI Training Platform

LinkedIn, the world's largest professional network, is seeking a Principal Staff Software Engineer to join their AI Platform group, specifically focusing on the AI Training team. This role is pivotal in developing and maintaining highly scalable deep learning training solutions that power LinkedIn's expanding AI initiatives.

The position offers a hybrid work environment with locations in Mountain View, CA, San Francisco, CA, or Bellevue, WA. As part of the AI Training team, you'll be responsible for scaling LinkedIn's AI model training capabilities, handling models with hundreds of billions of parameters across various use cases including recommendation systems, large language models (Generative AI), and computer vision models.

The role involves working with cutting-edge technologies and optimizing training performance across multiple dimensions: algorithms, AI frameworks, infrastructure software, and hardware. You'll be managing a GPU fleet with thousands of latest-generation cards and collaborating closely with the open source community, including projects like TensorFlow, Horovod, and Ray.

Key responsibilities include leading technical strategy development, implementing high-performance AI training pipelines, improving system observability, and mentoring other engineers. You'll work with technologies like LLMs, GNNs, and advanced LLM Agents, while also contributing to containerized pipeline orchestration infrastructure.

The ideal candidate should have extensive experience in software design and development (7+ years), strong programming skills in languages like Python, Java, or C++, and demonstrated expertise in deep learning systems. The role offers competitive compensation ($207,000 - $340,000) and comprehensive benefits including medical, dental, and vision insurance, 401(k), and parental leave.

This is an opportunity to shape the future of AI infrastructure at LinkedIn while working with a talented team of engineers and contributing to open-source projects. You'll be at the forefront of developing solutions that power LinkedIn's AI capabilities, making a significant impact on how millions of professionals connect and grow their careers.