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Salary: USD 150,000 - 400,000 / annual
Etched is hiring an Internal Acceleration Engineer to build AI agents and tools that accelerate the production of frontier inference hardware. You'll embed directly with the founders and cross-functional teams (kernels, ASIC, hardware, production, special projects) to identify and own high-leverage bottlenecks end-to-end.
Your mandate is to transform how hardware is built in an AI-native world by shipping full-stack internal products: LLM agents wired into engineering workflows via tool-calling and MCP, data pipelines, infrastructure, and interfaces that define Etched's development velocity. Success is measured by how much faster Etched moves, not lines of code written.
Key responsibilities include:
- Embedding with hardware and production teams to find bottlenecks and own solutions from conception to adoption
- Building and deploying LLM agents integrated into engineering workflows
- Shipping full-stack internal products from zero to one
- Designing evals and tracking adoption to validate tool impact
- Taking on special projects directly with founders to hit critical milestones
This is a high-agency role for engineers who thrive on ambiguity, have strong product sense, and want to own problems end-to-end. The role is not a 9-5; the ideal candidate is excited about intensity and impact.
Etched is building inference-focused AI hardware, co-designing chips, racks, software, and manufacturing for best-in-class throughput and latency. The company is fully in-person in San Jose (Santana Row), backed by hundreds of millions from top-tier investors, and staffed by leading engineers.
REQUIREMENTS:
- 1–5+ years of experience building and shipping software end-to-end, ideally at a fast-moving startup
- Strong full-stack skills; ability to ship working solutions across the stack
- Experience building LLM agents or AI tooling that real users depend on (context engineering, tool integration, evals, failure analysis—not just API calls)
- Use AI to ramp fast on unfamiliar domains; agentic coding tools and frontier models are core to your workflow
- Product sense, design taste, and extreme attention to detail
- Extreme agency: you find the real problem, not just the stated one
STRONG ADDITIONAL QUALIFICATIONS:
- Exposure to chip development, kernels, hardware, or manufacturing
- Infrastructure, data engineering, or DevOps experience
- Fine-tuning, RAG over proprietary technical data, or multi-agent orchestration
- Startup experience, especially through hypergrowth
