Internal Acceleration, Engineer - San Jose, United States
$150,000 - $400,000 USD yearly
Originally posted 15 October 2026 by the employer.
Etched is building hardware for frontier intelligence, focusing on inference.
About the role
What you'll do
- Embed with kernels, ASIC, hardware, and production teams to identify and address bottlenecks.
- Build and deploy LLM agents integrated into engineering workflows via tool-calling and MCP.
- Ship full-stack internal products, including interfaces, data pipelines, and infrastructure.
- Design evaluations and track adoption of tools.
- Take on special projects with founders to hit critical milestones.
What you'll need
- 1-5+ years of experience building and shipping software end-to-end.
- Strong full-stack skills.
- Experience building LLM agents or AI tooling that real users depend on, including context engineering, tool integration, evals, and failure analysis.
- Ability to use AI to ramp fast on unfamiliar domains, utilizing agentic coding tools and frontier models.
- Product sense, design taste, and attention to detail.
- Extreme agency in problem identification.
Skills: AI native world, LLM agents, engineering workflows, chip development, kernels, ASIC
This role has been open 0 days — well below the 80-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
80 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Etched | All employers we track in this specialty (512 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 7 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 43 | 6127 · 145 employers |
| Median days open | 107 d | 80 d (+27 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: AI native world, LLM agents, engineering workflows, chip development, kernels, ASIC
Who's hiring in this category
- Qualcomm · 101 open roles · median 106 d
- NVIDIA · 92 open roles · median 52 d
- AMD · 42 open roles · median 79 d
- Micron Technology · 27 open roles · median 65 d
- Mobileye · 19 open roles · median 73 d
- Analog Devices · 18 open roles · median 33 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.