Internal Acceleration, Research Engineer (Hardware)

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. You’ll work on harnesses, tool use, context, and memory, execution environments, and evals that let agents conduct long-running engineering work that is useful.

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 built agents for complex, multi-step tasks that people depend on, beyond calling an API: tool design, long-context management, evals, and failure analysis. - Are a strong software engineer who has built reliable systems others depend on, such as distributed systems, experiment infrastructure, or developer tooling. - Use coding agents heavily, read their transcripts closely, and change the system when an agent is confidently wrong. - Have high agency in unfamiliar domains. You find the real problem and drive it forward. - Have product sense, design taste, and extreme attention to detail

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. - Build execution environments where agents can verify their own work, with sandboxed access to simulators, EDA flows, compilers, profilers, and real hardware. - 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