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Internal Acceleration, Engineer (Hardware)

Etched· Software
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San Jose$150k - $400k + equityFull-timePosted 4d ago

About the role

Engineer role embedded with hardware team to build agentic harnesses and operating systems to accelerate production of frontier tokens; focus on end-to-end ownership, impact over lines of code, and working with founders in a fast-moving hardware-enabled AI startup.

Responsibilities

  • Embed with our hardware team to find the highest-leverage bottlenecks, and own each one from first idea to a tool engineers rely on every day.

Qualifications

  • Have at least 1-5+ years of experience building and shipping software end to end, ideally at a fast-moving startup
  • Have strong full-stack skills. What you ship should work, not necessarily every line written.
  • Have built LLM agents or AI tooling that real users depend on, including context engineering, tool integration, evals, and failure analysis
  • Use AI to ramp fast on unfamiliar domains. Agentic coding tools and frontier models
  • Have product sense, design taste, and extreme attention to detail
  • Have extreme agency: you find the real problem, not just the stated one

Skills

Required:Experience building and shipping software end to endFull-stack developmentLLM agents / AI toolingDomain knowledge in AI toolingProduct sense and attention to detail

Benefits

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2,500 per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch and dinner in our office
  • Unlimited compute budget subject to ROI justification
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Etched

Etched is building frontier inference clusters: co-designs chips, racks, software and manufacturing to push the pareto frontier for AI hardware.

frontier inference clustersAI hardwarechipsrackssoftwaremanufacturingparto frontier
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