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FuriosaAI

Power-efficient AI inference accelerator chips

Talent Researcher

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of experience in sourcing, research, or recruiting, in-house or agency.
  • Curiosity about technical roles such as chip design, compilers, and systems software, with eagerness to learn the domain on the job.
  • Experience proactively finding talent by meeting people and building networks.
  • Ability to structure large amounts of information and turn data into clear, actionable insights.
  • Professional working proficiency in English for researching global candidates and collaborating with the global team.
  • Strong attention to detail and fast execution.

Responsibilities

  • Define target companies, teams, and talent segments for each role, and build talent maps and longlists.
  • Find candidates beyond standard job platforms using creative approaches to reach people who are not actively looking.
  • Research and organize market intelligence on competitors and adjacent industries, including organizational structures, talent movement, and compensation trends.
  • Lead first-touch candidate outreach, and test and refine messaging to improve response rates.
  • Partner with recruiters to sharpen candidate profiles and shape search strategies.
  • Build and nurture long-term talent pools for critical roles.
  • Support recruiting operations as needed, such as interview scheduling and candidate communication.

Desired Qualifications

  • Familiarity with the semiconductor, hardware, or AI engineering talent landscape.
  • Experience finding talent across the US and APAC, including Taiwan and Singapore.
  • Hands-on experience with recruiting coordination or operations.

About the Company

FuriosaAI

Power-efficient AI inference accelerator chips

FuriosaAI develops AI accelerators for data centers. Its flagship RNGD chip is a power-efficient accelerator designed to boost performance per watt for running large language models and other demanding AI workloads. The hardware is configurable with multiple processing elements to fit different workloads, and it is paired with advanced compiler technology and profiling tools to identify bottlenecks and optimize efficiency. This combination of flexible hardware and software optimization differentiates FuriosaAI from competitors, focusing on maximizing performance while keeping energy use low. The company targets data centers and enterprises that need high-performance, energy-efficient AI solutions, and aims to make AI computing more sustainable and scalable by selling its chips and related software tools and pursuing long-term contracts with large-scale customers.

Company size
201-500
Company stage
Series D
Total funding
$887.5M
Headquarters
Seoul, South Korea
Founded
2017

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