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
Designing frontier AI hardware means solving electrical and mechanical problems together: schematics and board layouts, power delivery and signal integrity, packaging and cooling, manufacturing and assembly. Every decision changes the constraints on the next. Future breakthroughs will come from AI systems that can reason across these domains, operate engineering tools, run thousands of experiments, and learn which designs work in the physical world.
What they're looking for
- A track record of solving hard problems across stacks and domains—you enjoy being dropped into unfamiliar territory and figuring it out
- Hands-on experience building and shipping LLM-based agents or AI tooling that people depend on: context engineering, tool integration, orchestration, evaluation, and failure analysis
- Fluency using AI to learn and ramp on new problems—agentic coding tools, deep research, and frontier models are how you work, not an add-on
- An eval-driven mindset: you measure whether AI systems work, investigate where they fail, and use those failures to improve them
- Comfort moving between research exploration, agentic experimentation, engineering-tool debugging, and production execution
- High agency and comfort with ambiguity—you find the real problem to solve
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.
Designing frontier AI hardware means solving electrical and mechanical problems together: schematics and board layouts, power delivery and signal integrity, packaging and cooling, manufacturing and assembly. Every decision changes the constraints on the next. Future breakthroughs will come from AI systems that can reason across these domains, operate engineering tools, run thousands of experiments, and learn which designs work in the physical world.
You will build those systems. Your mandate is to build agents that take electrical and mechanical designs from requirements through verified, manufacturable outputs. These agents should create and modify CAD models, design schematics and PCB layouts, run simulations, diagnose failures, and iterate with our...
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