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FuriosaAI

Power-efficient AI inference accelerator chips

Rack System Architect

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • Extensive experience in server, data center, AI/HPC, or other complex computing system design.
  • Proven experience taking complex hardware systems from system definition through production.
  • Strong working knowledge across multiple system-level disciplines, including mechanical, power, thermal, and high-speed interconnect.
  • Experience working with external design houses, vendors, or CM/ODM partners.
  • Strong system-level problem-solving and technical decision-making skills.
  • Excellent English communication skills.

Responsibilities

  • Define the overall rack-level system architecture for next-generation AI accelerator platforms.
  • Establish and allocate system-level power, thermal, mechanical, volume, and interconnect budgets.
  • Translate product requirements into quantified engineering requirements that external partners can execute against.
  • Define interfaces and ownership boundaries between internal teams and external partners.
  • Evaluate architecture options and drive system-level trade-offs across compute density, interconnect bandwidth, power delivery, and cooling.
  • Review external design proposals and ensure alignment with system requirements.
  • Define technical requirements and SOW inputs for design houses and CM/ODM partners.
  • Identify system-level risks and drive mitigation plans.
  • Establish system-level design standards and technical review processes.

Desired Qualifications

  • Experience with rack-scale AI or HPC systems.
  • Experience with OCP rack architectures such as ORv3 or ORW.
  • Experience with high-density, liquid-cooled compute platforms.
  • Experience working with silicon and networking vendors on system-level definition.
  • Experience building a system architecture from early concept through production.

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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