Location: Mountain View, CA
Cap-Exempt H-1B Position — No lottery required
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. **Job Description** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The Systems and Infrastructure Team is building a next-generation engineering system and infrastructure platform designed to improve engineering leverage across the company and deliver accelerated value to the AI stack. The mission is to re-platform the largest GPU-scale inference and training infrastructure serving hundreds of thousands of GPUs onto a modern, high-velocity engineering foundation. As a Distinguished Engineer, you will help architect and deliver core distributed systems primitives including scalable Kubernetes scheduling, metadata storage, model serving control planes, observability, and global routing — all built to run at massive scale on cloud infrastructure. This role sits at the intersection of infrastructure, distributed systems, and AI platforms, an opportunity to shape one of the most leveraged software problems at the company and build systems that will eventually onboard teams across the organization. **Responsibilities:** - You will drive the engineering systems vision spanning hermetic builds (Bazel), continuous deployment, cryptographic supply chain inte