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26 дней назад

Staff Technical Program Manager (AI)

100 000 - 500 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff Technical Program Manager (AI): Driving the execution of AI/ML and CPU processor projects with an accent on physical design and multi-chiplet scheduling. Focus on managing cross-functional teams and coordinating between internal engineering and external design partners to deliver next-generation AI silicon.

Location: Hybrid; based in Santa Clara, CA, Austin, TX, or Ft. Collins, CO. Must be eligible to access U.S. export-controlled technology (citizenship/permanent residency may be required).

Salary: $100k - $500k (including base and variable compensation)

Company

hirify.global is an AI technology company developing high-performance RISC-V CPUs and cutting-edge AI platforms to redefine computing performance and cost efficiency.

What you will do

  • Drive the execution of industry-leading AI/ML and CPU processor projects.
  • Lead cross-functional teams and manage complex schedules across multiple chiplets.
  • Serve as the primary interface between internal engineering teams and external partners.
  • Translate technical engineering details into strategic program objectives.
  • Ensure cross-team alignment on priorities and dependencies to meet milestone deliverables.

Requirements

  • BS/MS/PhD in EE/ECE/CE/CS.
  • 5+ years of technical program management experience in the semiconductor industry.
  • Hands-on background in physical design, including synthesis, place and route flows, timing analysis, EM/IR, and physical verification.
  • Proven track record of successfully managing design services partners and client relationships.
  • Eligibility to access U.S. export-controlled technology per EAR regulations.

Culture & Benefits

  • Highly competitive compensation package and benefits.
  • Work environment that values collaboration, curiosity, and solving hard problems.
  • Opportunity to influence the success of next-generation AI silicon architectures.
  • Equal opportunity employer.

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