Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$150к-400к/год
$200к$230кмедиана$280к
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Высокая зарплата, доля в компании и работа на переднем крае AI выглядят привлекательно, но ожидание переработок и широкий круг срочных задач - существенные компромиссы.
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Переработки ожидаютсяШирокая зона задачОплата выше рынкаПередовой AIЩедрые льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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