LinkedIn is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team. This role focuses on scaling LinkedIn's AI model training, feature engineering, and serving capabilities for handling models with hundreds of billions of parameters. The position involves working with cutting-edge technologies including LLMs, GNNs, and various deep learning frameworks. The team is responsible for optimizing performance across algorithms, AI frameworks, data infrastructure, and hardware to maximize the efficiency of LinkedIn's GPU fleet.
The role combines technical leadership with hands-on engineering, requiring expertise in distributed systems, deep learning infrastructure, and large-scale serving systems. You'll work on challenges involving massive scale (billions of parameters, terabytes of data), while enabling rapid experimentation and model deployment across the organization.
As a technical leader, you'll help shape LinkedIn's AI infrastructure strategy, mentor other engineers, and collaborate with the open-source community on projects like PyTorch, DeepSpeed, and Huggingface. The position offers competitive compensation, comprehensive benefits, and the opportunity to work in a hybrid environment that balances remote work with in-office collaboration.
The ideal candidate combines deep technical expertise in ML systems with proven leadership experience, capable of driving technical direction while maintaining hands-on involvement in complex engineering challenges. This role presents an exceptional opportunity to impact the future of AI infrastructure at scale while working with cutting-edge technologies and talented teams.