Internal Acceleration, Engineer (Hardware)
Etched · San Jose
About this role
## Internal Acceleration, Engineer (Hardware) ### 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 hardware team to create new agentic harnesses and operating systems—transforming how hardware is built in an AI-native world. Your work will vary widely, and success is measured by how much faster **Etched** moves—not by lines of code. 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” role: time-sensitive, business-critical problems, and not 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 than whether you wrote every line yourself) - Have built **LLM agents / AI tooling** that real users depend on (beyond just calling an API): context engineering, tool integration, evals, and failure analysis - Can 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**: find the real problem, not just the stated one ### Key Responsibilities - Embed with the hardware 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 for those living 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) ### Base Compensation - **$150K – $400K+** - Plus **significant equity** ### How We’re Different - We believe in the **Bitter Lesson** - We’re the 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 as needed ### About Etched Etched builds 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—redefin
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.