Frontier AI Acceleration Engineer

Etched; San Jose (CA); On-site; USD 150,000 - 400,000; Full time

Benefits offered by this job

Medical, dental, and vision packages

Housing subsidy $2,500/mo near office

Relocation support to San Jose

Wellness benefits

Daily lunch and dinner in office

Unlimited compute budget

$500 monthly credit for waiving MED

Job summary

Etched is building hardware for frontier intelligence and is hiring for an engineer to join the Internal Acceleration team in San Jose. You will embed with the hardware team to build agentic harnesses and operating systems that accelerate production of frontier tokens, owning problems end to end.

This role is for engineers who thrive in ambiguity, ship end-to-end software, and measure impact by speed of execution.

Qualifications

• Have 1–5+ years building and shipping software end-to-end, ideally at a fast-moving startup.
• Strong full-stack skills; focus on working outputs over line-by-line coding.
• Built LLM agents or AI tooling used by real users.
• Experience using AI to ramp on unfamiliar domains; agentic tools and frontier models.
• Strong product sense, design taste, and attention to detail.
• Extreme ability to find the real problem, not just the stated one.

Responsibilities

• Embed with hardware team to identify bottlenecks and own each from idea to tool used daily.
• Build and deploy LLM agents wired into engineering workflows via tool-calling and MCP.
• Ship full-stack internal products: interfaces, data pipelines, and infrastructure.
• Measure what works; design evals and track adoption to double down on impactful tools.
• Take on special projects with founders to hit critical milestones.

Skills

End-to-end software

Full-stack skills

LLM agents

Context engineering

Tool integration

Eval design

Failure analysis

Frontier models

Product sense

Design taste

Detail orientation

Tools

MCP

Job description

Etched is building hardware for frontier intelligence and is hiring for an engineer to join the Internal Acceleration team in San Jose. You will embed with the hardware team to build agentic harnesses and operating systems that accelerate production of frontier tokens, owning problems end to end.

This role is for engineers who thrive in ambiguity, ship end-to-end software, and measure impact by speed of execution.