Internal Acceleration, Engineer (Hardware)

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

Job Summary

Our Internal Acceleration team’s mandate is to build agents to accelerate the production of frontier tokens.

You’ll work directly with our founders and embed with our hardware team to build new agentic harnesses and operating systems to transform the way hardware is built in an AI native world. Your work will vary widely, and your success is measured by how much faster Etched moves, not by the lines of code you write.

This role is for engineers who thrive on ambiguity, have real product sense, and want to own problems end to end. It’s a whiteboard for future founders. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that.

You may be a good fit if you

• Have at least 1-5+ years of experience building and shipping software end to end, ideally at a fast-moving startup




• Have strong full-stack skills. We care less about whether you write every line yourself and more about whether what you ship works




• Have built LLM agents or AI tooling that real users depend on, which means more than calling an API: context engineering, tool integration, evals, and failure analysis




• Use AI to ramp fast on unfamiliar domains. Agentic coding tools and frontier models are how you work, not an add-on




• Have product sense, design taste, and extreme attention to detail




• Have extreme agency: you find the real problem, not just the stated one

Key Responsibilities

• Embed with our hardware 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 LLM agents wired into our engineering workflows via tool-calling and MCP.




• Ship full-stack internal products from zero to one: the interfaces, data pipelines, and infrastructure that define how Etched builds.




• Measure what works. Design evals and track adoption so we double down on the tools that matter and kill the ones that don’t.




• Take on special projects directly with the founders, surfacing problems across the company and doing whatever it takes to hit critical milestones.

Strong candidates may also have

• 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

Benefits

• Medical, dental, and vision packages with generous premium coverage

  
  
  
  

  • $500 per month credit for waiving medical benefits

  
  



• Housing subsidy of $2,500 per month for those living within walking distance of the office




• Relocation support for those moving to San Jose (Santana Row)




• Various wellness benefits covering fitness, mental health, and more




• Daily lunch and dinner in our office




• Unlimited compute budget subject to ROI justification

Base Compensation Range

• $150K – $400K+




• Plus Significant Equity

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.