Co-designed chips, racks, and software to push the pareto frontier to best-in-class throughput and interactivity. Backed by Kleiner Perkins and Sequoia.
About the role
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.
What they're looking for
- Physical deployment and bring-up of custom or semi-custom server platforms, including early-stage hardware that doesn't come with vendor support
- Liquid cooling systems (direct liquid cooling, rear-door heat exchangers, or immersion cooling) and the facility requirements they impose
- AI or HPC cluster environments - GPU or ASIC clusters, high-radix switch fabrics, RDMA networking
- Scripting and automation (Python, Bash, Ansible) for asset tracking, environmental monitoring integration, or operational workflows
- Working within a semiconductor or hardware startup, where roadmaps compress and infrastructure needs to keep pace with silicon
More about this role
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.
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 our 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...
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