Applied AI Engineer

About the Company

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 are heavily focused on inference. 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.

Responsibilities

• Build, deploy, and maintain LLM-agent workflows that accelerate chip development including debug triage, testbench work, and EDA script generation
• Embed with hardware teams to identify high-leverage pain points and turn them into automated workflows
• Design rigorous evals for agent performance on real silicon-engineering tasks
• Integrate agents with internal infrastructure such as simulation flows, CI/regression systems, and lab equipment via tool-calling and MCP
• Champion adoption through documentation, training, and fast feedback loops

Requirements

• Track record of solving hard problems across stacks and domains
• Proficiency with Python and the ability to debug and direct AI to write code
• Hands-on experience building and shipping LLM-based agents or AI tooling
• An eval-driven mindset to measure AI system performance
• High agency and comfort with ambiguity
• Ability to ramp quickly on deeply technical hardware domains

Preferred Qualifications

• Experience with chip development (RTL/SystemVerilog, UVM, DFT, physical design, or FPGA)
• Knowledge of EDA tool flows and Tcl scripting
• Experience with fine-tuning, post-training (SFT, RLHF/DPO), or RAG
• Deep software engineering skills in C++ or Rust
• Experience with infrastructure tools like Docker, Slurm, or Ray