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You will be the L10 System Validation Engineer, defining what it means for the accelerator platform to be production-ready, build the infrastructure to prove it, and personally drive the most critical issues from detection through root cause to verified fix.
Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. 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.
You will be the L10 System Validation Engineer, defining what it means for the accelerator platform to be production-ready, build the infrastructure to prove it, and personally drive the most critical issues from detection through root cause to verified fix.
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Critical escapes to production are zero — not because nothing broke, but because you assumed everything would break and proved otherwise.
You created a structure where there was none: coverage models, automation, debug workflows, and RCA templates exist because you built them.
Platform stress runs are stable, repeatable, and instrument-verified under sustained thermal and power load.
Manufacturing partners have clear, data-driven pass/fail gates — and they trust the gates because you defined them.
Engineering leadership has a real-time, quantified view of platform readiness at every stage of ramp.
Etched believes in the Bitter Lesson . We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
Private semiconductor startup building AI inference chips, racks, and software for frontier-model customers.
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Senior · 10+ years experience
Onsite
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