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Etched

Designs chips and servers for running AI models

Internal Acceleration - Research Engineer, ASIC

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • Have at least 1–5+ years of experience building and shipping software end to end, ideally at a fast-moving startup.
  • Have built agents for complex, multi-step tasks that people depend on, beyond calling an application programming interface, including tool design, long-context management, evaluations, and failure analysis.
  • Be a strong software engineer who has built reliable systems others depend on, such as distributed systems, experiment infrastructure, or developer tooling.
  • Use coding agents heavily, read their transcripts closely, and change the system when an agent is confidently wrong.
  • Have high agency in unfamiliar domains, finding the real problem and driving it forward.
  • Have product sense, design taste, and extreme attention to detail.

Responsibilities

  • Embed with the ASIC team to find the highest-leverage bottlenecks, and own each one from first idea to a tool engineers rely on every day.
  • Build and deploy large language model agents wired into engineering workflows via tool-calling and Model Context Protocol.
  • Build execution environments where agents can verify their own work, with sandboxed access to simulators, electronic design automation flows, compilers, profilers, and real hardware.
  • Ship full-stack internal products from zero to one, including the interfaces, data pipelines, and infrastructure that define how the company builds.
  • Measure what works by designing evaluations and tracking adoption, doubling down on tools that matter and discontinuing those that do not.
  • Take on special projects directly with the founders, surfacing problems across the company and doing whatever it takes to hit critical milestones.

Desired Qualifications

  • Exposure to chip development, kernels, hardware, or manufacturing.
  • Infrastructure, data engineering, or DevOps experience.
  • Fine-tuning, retrieval-augmented generation over proprietary technical data, or multi-agent orchestration.
  • Startup experience, especially through hypergrowth.

About the Company

Etched

Designs chips and servers for running AI models

Etched designs AI chips and the server racks built around them for AI companies and cloud providers, focusing only on inference, the work of running trained models to answer requests. In 2024, it unveiled a chip hard-wired to run only transformers, the type of AI model behind ChatGPT, after betting at its founding that they would dominate AI. Etched develops its chips, racks, and software together, and each rack links many chips through a shared pool of fast memory so very large models with long inputs can answer quickly. It earns money by selling these complete systems rather than individual chips. Etched was founded in 2022 and is based in San Jose, California.

Company size
201-500
Company stage
Series D
Total funding
$1.6B
Headquarters
San Jose, CA
Founded
2022

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