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FuriosaAI

Power-efficient AI inference accelerator chips

Software Engineer - Agent System Developer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science or a related field, or equivalent practical experience.
  • Experience in at least two of the following areas: designing and operating distributed systems or large-scale backend systems; developing and deploying machine-learning or artificial-intelligence systems, especially large language model-based systems; developing agent systems, workflow engines, or orchestration frameworks; developing backend systems using Python, Go, or C++.

Responsibilities

  • Design and develop core infrastructure for the Agent System Framework.
  • Implement core agent-runtime components, including agent orchestration, context management, tool execution, and memory abstraction.
  • Collaborate with diverse teams to rapidly prototype new agent capabilities and scale them into production.
  • Design and improve developer-facing interfaces, including command-line interfaces and software development kits.

Desired Qualifications

  • A master's or doctoral degree in computer science or a related field.
  • Experience designing and developing agentic artificial-intelligence system frameworks in real-world environments or at large scale.
  • Experience developing applications based on large language models, such as reasoning systems with planning and tool use.
  • Experience developing developer tools such as command-line interfaces or software development kits.

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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