Etched

HQ
Victoria
53 Total Employees
Year Founded: 2022

Etched Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers dental insurance

Offers health insurance

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Company Culture

Provides free snacks and drinks

Recently posted jobs

16 Hours AgoSaved
In-Office
San Jose, CA, USA
Artificial Intelligence • Hardware • Software
Build agentic systems that accelerate hardware and software engineering across kernels, ASIC, hardware, and production teams. Develop LLM agents, tool-calling workflows, MCP integrations, sandboxed execution environments, evaluation systems, and internal products. Own projects end to end, from identifying bottlenecks through deployment and adoption measurement. Work closely with founders and cross-functional engineering teams on high-impact special projects involving infrastructure, data pipelines, simulators, compilers, profilers, and real hardware.
16 Hours AgoSaved
In-Office
San Jose, CA, USA
Artificial Intelligence • Hardware • Software
Build agentic harnesses, LLM agents, and full-stack internal products that accelerate hardware and software production. Embed with kernels, ASIC, hardware, and production teams to identify bottlenecks, deliver tools from concept through deployment, design evaluations, measure adoption, and support critical founder-led projects. The role requires strong product judgment, end-to-end ownership, comfort with ambiguity, and practical experience shipping AI tooling used by real users.
16 Hours AgoSaved
In-Office
San Jose, CA, USA
Artificial Intelligence • Hardware • Software
Build and deploy LLM agents, agentic harnesses, evaluation systems, and execution environments that accelerate hardware engineering. Partner with kernels, ASIC, hardware, production, and founder teams to identify bottlenecks and deliver reliable internal tools. Own full-stack products, infrastructure, data pipelines, tool integrations, and adoption measurement from concept through deployment. Work across ambiguous, high-priority projects in a fully in-person, fast-paced AI hardware environment.