$ cat jobs/data-center-engineer-etched-169022d1cc7f.json
Data Center Engineer
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Deploying next-generation inference hardware at scale requires more than great chips - it demands world-class physical infrastructure. As a Data Center Engineer at Etched, you will own the end-to-end lifecycle of our data center and hardware lab environments: from facility selection and rack design, power distribution, networking layout, cabling, hardware management, day-to-day operations, and long-term capacity planning. You'll work directly with the hardware, platform, and software teams to bring Sohu systems online faster, keep them running harder, and push the limits of what dense, high-power AI inference design and manufacturing infrastructure can do. This is not a traditional data center operations role. We expect you to treat data center engineering with the same rigor and craftsmanship we apply to our chip design - thinking from first principles about power density, thermal constraints, network topology, and physical security. You'll be making real architectural decisions that directly shape how our products are engineered, manufactured and reach customers. You will be on the ground in our co-location facilities and lab environments, working hands-on with custom server platforms and high-speed networking. You'll drive the processes, tooling, and vendor relationships that allow us to scale our infrastructure as fast as our product roadmap demands. Key Responsibilities - Own rack layout, capacity planning, power distribution, network design, cabling, and physical deployment of Etched High performance computing