Internal Acceleration Engineer ASIC
EtchedVisit Etched website
Etched is an AI-hardware company building rack-scale frontier inference clusters.
San Jose, United States
Funding history
About Etched
Etched co-designs chips, racks, software, and manufacturing systems for efficient inference of frontier AI models, targeting throughput, latency, cost, and power efficiency across prefill and decode workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will identify high-leverage engineering bottlenecks and own solutions from idea through deployment. You will build LLM agents with tool-calling and MCP, ship internal full-stack products and supporting data infrastructure, design evaluations, track adoption, and take on time-sensitive projects.
Requirements
- 1–5+ years of end-to-end software development and delivery experience
- Full-stack development skills
- Experience building LLM agents or AI tooling for users
- Context engineering, tool integration, evaluation, and failure analysis experience
- Experience using agentic coding tools and frontier models
- Product sense and design taste
- Attention to detail
- Ability to identify and solve underlying problems
Responsibilities
- Identify high-leverage ASIC engineering bottlenecks and deliver tools engineers use
- Build and deploy LLM agents for engineering workflows using tool-calling and MCP
- Ship full-stack internal products, interfaces, data pipelines, and infrastructure
- Design evaluations and track adoption
- Take on special projects and surface critical problems
Benefits
- Medical, dental, and vision coverage
- USD 500 monthly credit for waiving medical benefits
- USD 2,500 monthly housing subsidy for eligible employees living within walking distance of the office
- Relocation support to San Jose
- Wellness benefits
- Daily office lunch and dinner
- Unlimited compute budget subject to ROI justification