Internal Acceleration, Engineer (Special Projects)
Etched · San Jose
About this role
## Internal Acceleration, Engineer (Special Projects) ### Job Summary Our Internal Acceleration team builds agents to accelerate the production of frontier tokens. You’ll work directly with our founders and embed with our special projects team to create new agentic harnesses and operating systems that transform how hardware is built in an AI-native world. 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—time-sensitive, business-critical problems included. > This role will not be a 9–5. ### You May Be a Good Fit If You - Have **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 more that what you ship works) - Have built **LLM agents / AI tooling** that real users depend on (beyond just calling an API): - context engineering - tool integration - evals - failure analysis - Use AI to ramp quickly on unfamiliar domains (agentic coding tools and frontier models are how you work) - 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 the special projects team to identify the highest-leverage bottlenecks and own them from first idea to a tool engineers rely on daily - Build and deploy LLM agents wired into engineering workflows via **tool-calling** and **MCP** - Ship full-stack internal products from **zero to one**: interfaces, data pipelines, and infrastructure that define how Etched builds - Measure what works: design evals, track adoption, double down on what matters, and kill what doesn’t - Take on special projects directly with founders—surfacing cross-company problems and driving 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/month** credit for waiving medical benefits - **$2,500/month** housing subsidy (within walking distance of the office) - Relocation support for those 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) ### Base Compensation Range - **$150K – $400K+** - Plus **significant equity** ### How We’re Different - We believe in the **Bitter Lesson** - First inference-focused frontier AI system—betting early on transformer/transformer-like architectures and increasing model sizes - Fully in-person team in **San Jose (Santana Row)** - No boundaries between engineering and research; technical staff contribute across disciplines ### 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. Our first products focus heavily on inference, backed by hundreds of millions from top-tier investors and staffed by leading engineers.
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