About Etched
Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower 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.
Job Summary
We are seeking a Manufacturing Engineering Lead to drive the manufacturing engineering strategy and execution for Etched's silicon-to-system products. This role will focus on building and scaling manufacturing processes, line bring-up, and production execution for boards, servers, and rack-level systems in close partnership with our contract manufacturing partners.
This is a senior, hands-on role for a leader who can operate at both the factory floor and systems level. You will serve as the technical bridge between product development and manufacturing, ensuring our designs, processes, tooling, and work instructions are ready to support NPI, production ramp, and sustained volume execution. You will work cross-functionally with hardware, manufacturing test, manufacturing quality, supply chain, and operations teams to deliver high-quality systems against aggressive schedules.
The ideal candidate has deep experience in manufacturing engineering for complex hardware systems, including process development, DFX, line qualification, yield improvement, and factory readiness. You should be comfortable owning external manufacturing relationships, driving technical issue resolution, and building the manufacturing engineering foundation required to scale a world-class AI hardware company.
Key responsibilities
Manufacturing Engineering Leadership
Process Development and Factory Readiness
Cross-Functional Manufacturing Execution
External Partner Management
Operational Excellence
You may be a good fit if you have
If you have not been on an SMT line in the past year, please do not apply.
Benefits
How we're different
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.