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8 часов назад

Distinguished Engineer (AI)

266 050 - 396 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Distinguished Engineer (AI): Architecting and building core platform capabilities for the AI Data Engine with an accent on GenAI pipelines, intelligent data services, and AI-native storage integration. Focus on designing highly available, horizontally scalable distributed systems and driving technical strategy for enterprise-scale AI workflows.

Location: Must be based in San Jose, California, USA (Hybrid role).

Salary: $266,050 – $396,000 USD.

Company

hirify.global is a global leader in intelligent data infrastructure, providing unified storage and data services for hybrid multicloud environments and enterprise AI.

What you will do

  • Architect and implement core platform capabilities including data ingestion, vectorization, and semantic search infrastructure.
  • Define technical architecture for AI-native storage integration within hirify.global ONTAP and cloud environments.
  • Lead the design of highly available, fault-tolerant, and horizontally scalable distributed systems.
  • Partner with product management to shape the roadmap and translate customer requirements into technical solutions.
  • Represent the company in the external technical community through patents, publications, and conference presentations.
  • Mentor senior and principal engineers to elevate technical craft and engineering culture.

Requirements

  • 20+ years of software engineering experience with a track record of technical leadership at scale.
  • Deep expertise in distributed systems, cloud-native architectures, and high-performance data infrastructure.
  • Hands-on experience building GenAI pipelines, RAG systems, vector stores, or agentic AI frameworks.
  • Proficiency in Python and at least one systems programming language such as Go, Rust, C++, or Java.
  • Strong understanding of LLM serving, inference optimization, and data infrastructure for model training.
  • Experience with cloud-native infrastructure like Kubernetes and managed AI services on major cloud providers.

Culture & Benefits

  • Comprehensive benefits package including health, life, and retirement plans.
  • Performance-based incentives and employee stock purchase plans.
  • Hybrid working environment focused on connection and collaboration.
  • Culture that rewards initiative, impact, and ownership.
  • Commitment to equal opportunity and diversity in the workplace.

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