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 crucial decisions regarding hardware selection, networking architecture, and storage solutions that power LinkedIn's AI initiatives. You'll work at the intersection of cutting-edge ML technology and enterprise-scale infrastructure.
The role requires deep expertise in GPU computing, high-performance networking, and distributed systems. You'll be expected to design solutions utilizing technologies like InfiniBand, high-speed Ethernet, and parallel file systems. The position involves both technical leadership and hands-on engineering, requiring you to balance architectural decisions with practical implementation.
Working in LinkedIn's hybrid environment, you'll collaborate with data scientists, ML engineers, and infrastructure teams across the organization. The company offers competitive compensation ($149,000 - $247,000) and the opportunity to impact how millions of professionals connect and grow their careers.
This role is ideal for someone who combines deep technical expertise with strategic thinking and leadership abilities. You'll need to stay current with emerging hardware technologies and industry trends while maintaining a focus on operational excellence and system reliability. The position offers significant growth potential and the chance to work on challenging problems at scale.
LinkedIn's commitment to trust, care, inclusion, and fun creates an environment where engineers can thrive while solving complex technical challenges. The role provides the opportunity to work with cutting-edge AI technology while helping shape the future of professional networking globally.