Sr Staff Engineer, ML Infrastructure and Performance

LinkedIn, the world's largest professional network, is seeking a Senior Staff Engineer to lead their ML infrastructure and performance initiatives. This role represents a unique opportunity to shape the future of AI infrastructure at scale.

The position focuses on designing and maintaining large-scale GPU infrastructure for machine learning and AI workloads. As the technical leader, you'll be responsible for critical decisions regarding hardware selection, architecture design, and ensuring production reliability. The role combines deep technical expertise with strategic leadership, requiring both hands-on engineering skills and the ability to influence cross-functional teams.

Key technical areas include GPU server optimization, high-performance networking (InfiniBand, RoCE, high-speed Ethernet), and scalable storage solutions. You'll work with cutting-edge AI technologies while ensuring operational excellence through monitoring, alerting, and performance optimization.

The ideal candidate brings 8+ years of distributed systems experience, with significant focus on GPU-based ML workloads. Beyond technical skills, you'll need strong communication abilities to work effectively with data scientists, ML engineers, and infrastructure teams.

LinkedIn offers a hybrid work environment, competitive compensation ($149,000-$247,000), and comprehensive benefits. The company's culture emphasizes trust, inclusion, and professional growth, making it an ideal place for senior engineers looking to make a significant impact in the AI infrastructure space.

This role provides the opportunity to influence the direction of ML infrastructure at one of tech's most prominent companies, while working with a talented team on challenging technical problems. You'll be at the forefront of scaling AI capabilities that impact LinkedIn's global professional network.