Internal Acceleration Engineer (Hardware)
EtchedJob Title
Internal Acceleration Engineer (Hardware)
Role Summary
The Internal Acceleration team builds agentic tools and operating systems that speed the production of frontier tokens and accelerate hardware development. You will work directly with founders and embed with kernels, ASIC, hardware, production, and special-project teams to deliver engineer-facing automation and internal products.
Success is measured by how much faster teams move; this is a high-ambiguity, high-impact, in-person role based in San Jose (Santana Row).
Experience Level
Mid-level. The posting requests roughly 1–5+ years of experience building and shipping software end-to-end.
Responsibilities
Primary responsibilities include embedding with engineering teams, designing agentic workflows, and shipping internal tools that engineers rely on.
- Embed with kernels, ASIC, hardware, and production teams to identify high-leverage bottlenecks and own solutions end-to-end.
- Design, build, and deploy LLM agents integrated into engineering workflows using tool-calling and system integrations.
- Ship full-stack internal products: interfaces, data pipelines, and infrastructure from zero to one.
- Design evaluations, measure adoption, and iterate to prioritize effective tools and retire ineffective ones.
- Lead special projects with founders to hit time-sensitive, business-critical milestones.
Requirements
Concise list of required and preferred qualifications.
- Must-have: 1–5+ years building and shipping software end-to-end, with strong full-stack engineering skills.
- Must-have: Practical experience building LLM agents or AI tooling beyond simple API calls (context engineering, tool integration, evals, failure analysis).
- Must-have: Ability to use AI tools to rapidly learn new domains and strong product sense with attention to detail.
- Must-have: High agency and ownership; able to find root problems and drive solutions.
- Nice-to-have: Exposure to chip development, kernels, hardware, manufacturing, or infrastructure/data engineering/DevOps.
- Nice-to-have: Experience with fine-tuning, RAG on proprietary technical data, multi-agent orchestration, or startup hypergrowth environments.
Education Requirements
Not specified.
About the Company
Company: Etched
Headquarters: San Jose, CA, United States
Etched develops purpose-built AI inference ASICs and systems optimized for transformer models, aiming to deliver significantly higher performance, lower cost, and lower latency than GPUs. The company focuses on enabling applications like real-time video generation and advanced reasoning agents, and is backed by leading investors and engineers.
