Internal Acceleration Engineer, ASIC

Job Title

Internal Acceleration Engineer, ASIC

Role Summary

Work with founders and embedded product teams (kernels, ASIC, hardware, production) to design and build agentic systems that accelerate hardware and token production. Deliver full-stack internal tools and LLM-driven agents that integrate into engineering workflows and increase team velocity.

Success is measured by shipped tools and adoption across teams; the role requires end-to-end ownership of high-leverage engineering problems.

Experience Level

Mid-level. The posting expects roughly 1–5+ years building and shipping software; candidates should have demonstrable product ownership and full-stack experience.

Responsibilities

Primary responsibilities include:

• Embed with kernels, ASIC, hardware, and production teams to identify high-leverage bottlenecks and deliver solutions end to end.
• Design, build, and deploy LLM agents integrated with engineering workflows via tool-calling and internal control planes.
• Ship full-stack internal products: interfaces, data pipelines, and infrastructure from zero to one.
• Design evaluations, measure adoption, and iterate on tools based on metrics and feedback.
• Execute special projects with founders to hit time-sensitive company milestones.

Requirements

Minimum qualifications and key skills:

• Proven experience building and shipping software end to end (typically 1–5+ years).
• Strong full-stack engineering skills and product sense; able to take features from concept to production.
• Experience building LLM agents or AI tooling beyond simple API calls: context engineering, tool integration, evals, and failure analysis.
• Comfort using AI-assisted developer tools and rapid ramping on unfamiliar domains.
• High ownership and problem-finding ability; attention to detail.

Nice to have:

• Exposure to chip development, kernels, hardware, or manufacturing.
• Infrastructure, data engineering, or DevOps experience.
• Experience with fine-tuning, RAG over proprietary data, or multi-agent orchestration.
• Startup experience, especially through hypergrowth.

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.