LinkedIn, the world's largest professional network, is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team. This role presents an exciting opportunity to work on cutting-edge AI technologies and shape the future of professional networking at scale.
The position focuses on building and optimizing LinkedIn's AI model training, feature engineering, and serving infrastructure that handles models with hundreds of billions of parameters. You'll work with state-of-the-art technologies across recommendation systems, large language models, and computer vision applications, while managing a GPU fleet with thousands of cards.
As a technical leader, you'll drive the strategy for complex requirements and solve large open-ended problems that impact LinkedIn's AI capabilities. Your responsibilities will include designing and implementing high-performance distributed systems, optimizing deep learning training and inference, and working closely with the open-source community on projects like PyTorch, GNNs, and DeepSpeed.
The role offers competitive compensation ($180,000-$300,000), comprehensive benefits, and the opportunity to work in a hybrid environment that balances remote work with in-office collaboration. You'll be part of a culture that values innovation, mentorship, and professional growth while working on technologies that impact millions of professionals worldwide.
Key technical areas include distributed systems, GPU optimization, machine learning infrastructure, and large-scale data processing. You'll collaborate with researchers and engineers across teams while having the chance to contribute to open-source projects and build your personal brand in the AI industry.
The ideal candidate brings strong experience in software development, distributed systems, and deep learning infrastructure, along with the leadership skills to mentor others and drive technical direction. If you're passionate about solving complex AI scaling challenges and want to impact how professionals connect and grow, this role offers an exceptional opportunity to work with cutting-edge technology at a global scale.