Senior Software Engineer, AI Platform

LinkedIn, the world's largest professional network, is seeking a Senior Software Engineer to join their AI Platform team. This role offers an exciting opportunity to work on cutting-edge AI infrastructure that powers LinkedIn's machine learning capabilities across recommendation systems, large language models, and computer vision applications.

The position focuses on scaling LinkedIn's AI model training and serving infrastructure, working with models containing hundreds of billions of parameters. You'll be part of a team that optimizes performance across algorithms, AI frameworks, data infrastructure, and hardware, managing thousands of latest-generation GPU cards.

As a Senior Software Engineer, you'll collaborate with open source communities, with many team members being active contributors to projects like TensorFlow, Horovod, Ray, vLLM, and DeepSpeed. The role involves building next-generation training infrastructure, implementing high-performance data I/O, and enabling distributed training for massive-scale models.

Key responsibilities include developing containerized pipeline orchestration infrastructure, providing advanced profiling and observability solutions, and maintaining deep learning frameworks. You'll also work on feature engineering platforms that handle millions of QPS and multi-terabyte datasets.

The ideal candidate brings 2+ years of experience in building deep learning systems, strong programming skills in languages like Python, Java, or C++, and expertise in distributed systems. This hybrid role offers competitive compensation ($128,000-$210,000), comprehensive benefits, and the opportunity to work with cutting-edge AI technologies while contributing to open-source projects.

Join LinkedIn to help shape the future of AI infrastructure while working in a collaborative environment that values diversity, innovation, and professional growth. The position offers the flexibility to work from multiple locations including Mountain View, San Francisco, or Seattle, combining remote work with in-office collaboration.