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, handling models with hundreds of billions of parameters. You'll work with state-of-the-art technologies including LLMs, GNNs, and advanced GPU computing systems, while managing a fleet of thousands of latest GPU cards.
As a technical leader, you'll drive initiatives across multiple dimensions: optimizing performance of AI frameworks, developing distributed training systems, and creating high-performance serving infrastructure. You'll work on fascinating challenges like scaling large language models, implementing tensor parallelism, and building efficient feature engineering pipelines.
The role offers a unique blend of technical depth and leadership opportunities. You'll collaborate with talented researchers and engineers, influence open-source projects, and help define LinkedIn's technical culture. The hybrid work environment provides flexibility while maintaining strong team connections.
Key focus areas include model training infrastructure, where you'll build next-gen systems for AI use cases, and model serving infrastructure, where you'll develop low-latency applications for serving complex models. You'll work with cutting-edge technologies like DeepSpeed, Huggingface, and PyTorch, while solving challenges of scale and performance.
This position offers competitive compensation ($180,000-$300,000), comprehensive benefits, and the opportunity to work on problems that impact hundreds of millions of professionals worldwide. Join LinkedIn to push the boundaries of AI infrastructure and help create economic opportunity for every member of the global workforce.