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7 дней назад

Internal Acceleration Engineer (AI)

150 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Internal Acceleration Engineer (AI): Building LLM agents, full-stack internal products, data pipelines, and infrastructure that accelerate hardware development with an accent on tool-calling, MCP, evals, and workflow integration. Focus on embedding with kernels, ASIC, hardware, and production teams, identifying high-leverage bottlenecks, and shipping tools that measurably improve engineering velocity.

Location: On-site in San Jose, United States. The team works fully in person at the Santana Row office. Relocation support is available for candidates moving to San Jose.

Salary: $150K–$400K+ annually, plus significant equity.

Company

hirify.global builds hardware, software, racks, and manufacturing systems for frontier AI inference, with a focus on transformer-based architectures and high throughput and low latency.

What you will do

  • Embed with kernels, ASIC, hardware, and production teams to identify high-leverage bottlenecks.
  • Build and deploy LLM agents integrated into engineering workflows through tool-calling and MCP.
  • Ship full-stack internal products, including interfaces, data pipelines, and infrastructure.
  • Design evaluations, measure adoption, and determine which tools create meaningful impact.
  • Own special projects with the founders and help deliver critical company milestones.

Requirements

  • 1–5+ years of experience building and shipping software end to end.
  • Strong full-stack engineering skills and the ability to own problems from first idea to production.
  • Experience building LLM agents or AI tooling that real users depend on, including context engineering, tool integration, evaluations, and failure analysis.
  • Strong product sense, design taste, attention to detail, and extreme agency.
  • Ability to work fully in person in San Jose and operate effectively in an ambiguous, fast-moving environment.

Nice to have

  • Exposure to chip development, kernels, hardware, or manufacturing.
  • Infrastructure, data engineering, or DevOps experience.
  • Experience with fine-tuning, RAG over proprietary technical data, or multi-agent orchestration.
  • Startup experience, especially in a hypergrowth environment.

Culture & Benefits

  • Fully in-person work with close collaboration across engineering, research, hardware, and manufacturing.
  • Medical, dental, and vision coverage with generous premium support.
  • $500 monthly credit for waiving medical benefits.
  • $2,500 monthly housing subsidy for employees living within walking distance of the office.
  • Relocation support, wellness benefits, daily lunch and dinner, and an unlimited compute budget subject to ROI justification.

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