Sr. Staff Software Engineer, AI Infrastructure

LinkedIn, the world's largest professional network, is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team. This is a unique opportunity to work at the intersection of AI and hardware optimization, focusing on scaling LinkedIn's AI model training and serving infrastructure.

The role involves implementing and deploying AI models on Field Programmable Field Array (FPGA) hardware, integrating FPGAs with existing CPU and GPU infrastructure, and developing high-performance, power-efficient FPGA solutions for large-scale AI models. You'll be working with cutting-edge technology, handling models with hundreds of billions of parameters across recommendation systems, large language models, and computer vision applications.

As a Sr. Staff Engineer, you'll play a crucial role in building the next-generation AI inference infrastructure. Your responsibilities will include designing and implementing FPGA kernels using High Level Specification or Hardware Description Languages, managing the complete kernel development lifecycle, and developing toolchains to generate FPGA kernels from high-level AI frameworks.

The position offers the opportunity to work with diverse teams across AI practitioners, AI Infrastructure, Compute Infrastructure, and Data Center Infrastructure. LinkedIn provides a flexible hybrid work environment, competitive compensation including stock options and annual bonuses, and the chance to impact how millions of professionals connect and advance their careers.

The ideal candidate should have extensive experience in hardware design, software development, and AI/ML systems, with a strong background in FPGA development and deep learning frameworks. This role requires both technical expertise and leadership skills, as you'll be mentoring other engineers and helping shape the technical culture of the team.

Join LinkedIn to push the boundaries of scaling AI while working in an environment that values trust, culture, connection, and clarity. Your work will directly influence the future of AI infrastructure at one of the world's leading professional networks.