Internal Acceleration, Research Engineer (Production)
Etched · San Jose
About this role
### Internal Acceleration, Research Engineer (Production) **About the role** Our Internal Acceleration team builds agents to accelerate the production of frontier tokens. You’ll work directly with our founders and embed with our production team to create new agentic harnesses and operating systems that transform how hardware is built in an AI-native world. You’ll focus on: - Harnesses, tool use, context, and memory - Execution environments - Evals that enable agents to perform long-running engineering work This is ideal for engineers who thrive in ambiguity, have strong product sense, and want to own problems end to end. This role is **not** a 9–5. --- ### You may be a good fit if you - Have **1–5+ years** building and shipping software end to end (ideally at a fast-moving startup) - Have built agents for complex, multi-step tasks people depend on (beyond simple API calls), including **tool design**, **long-context management**, **evals**, and **failure analysis** - Are a strong software engineer who has built reliable systems others depend on (e.g., distributed systems, experiment infrastructure, developer tooling) - Use coding agents heavily, review their transcripts closely, and improve the system when an agent is confidently wrong - Have high agency in unfamiliar domains—identify the real problem and drive it forward - Have product/design taste and extreme attention to detail --- ### Key responsibilities - Embed with the production team to identify the highest-leverage bottlenecks and own them from first idea to tools engineers rely on daily - Build and deploy LLM agents integrated into engineering workflows via **tool-calling** and **MCP** - Create execution environments where agents can verify their own work using sandboxed access to simulators, EDA flows, compilers, profilers, and real hardware - Ship full-stack internal products from zero to one (interfaces, data pipelines, infrastructure) - Design evals and track adoption to double down on what works and eliminate what doesn’t - Take on special projects directly with founders to surface cross-company problems and 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 with generous premium coverage - **$500/month** credit for waiving medical benefits - **$2,500/month** housing subsidy (within walking distance of the office) - Relocation support for moving to **San Jose (Santana Row)** - Wellness benefits (fitness, mental health, and more) - Daily lunch and dinner in the office - Unlimited compute budget (subject to ROI justification) --- ### Compensation - **$150K – $400K+** base salary - Plus **significant equity** --- ### About Etched Etched believes in the **Bitter Lesson**—we’re an inference-focused frontier AI system betting early on transformer architectures and increasing model sizes. We’re a fully in-person team in **San Jose (Santana Row)** and value engineering skills. We don’t separate engineering and research: technical staff contribute across disciplines as needed. Etched is building hardware for frontier intelligence—co-designing chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across prefill and de
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