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3 часа назад

Principal Engineer (AI)

196 350 - 292 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
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

Principal Engineer (AI): Architecting and tech-leading complex initiatives at the intersection of storage, data, and AI with an accent on large-scale distributed systems and cloud-native architectures. Focus on solving the hardest design and architecture problems, implementing agentic engineering, and optimizing GPU workloads for enterprise AI.

Location: Hybrid; Must be based in the US (San Jose, CA or Morrisville, NC)

Salary: $196,350 - $292,600 USD

Company

hirify.global provides intelligent data infrastructure, delivering unified storage and integrated data services for AI and multicloud environments.

What you will do

  • Serve as the primary technical architect for major AI BU initiatives, owning end-to-end system design.
  • Set technical direction and design standards across multiple engineering teams to ensure architectural coherence.
  • Author design documents and RFCs to align stakeholders on solutions for ambiguous, cross-cutting technical problems.
  • Remain hands-on by writing production code, reviewing high-stakes PRs, and resolving critical engineering bottlenecks.
  • Collaborate with product leadership to translate business priorities into technical roadmaps.
  • Mentor engineers across teams to raise the overall technical quality bar.

Requirements

  • 12+ years of software engineering experience with a focus on large-scale distributed systems.
  • Proven track record as a technical lead or architect on organization-wide initiatives.
  • Deep expertise in cloud-native architectures (AWS, Azure, or GCP).
  • Experience with Distributed Storage Systems and AI/ML systems.
  • Proficiency in agentic engineering using local or frontier models.
  • Must be based in the United States.

Nice to have

  • Expertise in knowledge graphs, semantics, and data modeling.
  • Hands-on experience with Distributed Database Systems.
  • Experience training and deploying AI models.
  • Knowledge of GPU workloads and accelerated computing infrastructure.

Culture & Benefits

  • Hybrid work environment designed to strengthen connection and collaboration.
  • Comprehensive benefits including Health and Life Insurance.
  • Retirement and Pension Plans.
  • Paid Time Off and various leave options.
  • Performance-based incentives and employee stock purchase plans (RSUs).

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