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Hardware - Mechanical Engineer

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Hardware - Mechanical Engineer

FuriosaAI

Hardware - Mechanical Engineer

Skills

AI

2 months ago

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Important information


Contract type:

Permanent

Location:

Seoul, South Korea

Work mode:

Onsite

Published on:

2 September 2026

What they need


About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon.

Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise.

Key Responsibilities

  • AI Accelerator, NPU Card, Server 및 Rack System의 기구 설계 및 개발
  • 전자 하드웨어 제품의 기구 부품 및 구조 설계
  • PTC Creo를 활용한 3D 모델링, Assembly 설계 및 2D 도면 작성
  • Design, PCB, Thermal, System, Manufacturing 팀과 협업하여 제품의 디자인 완성도, 성능 및 양산성 최적화
  • PCB Assembly, PCIe Card 및 Server Chassis의 기구 통합, 간섭 및 공차 검토
  • EVT / DVT / PVT 단계의 Prototype 제작, 검증 및 양산 이슈 대응
  • CNC 가공, 판금, Die Casting, Injection Molding 등 제조 공정을 고려한 설계

Minimum Qualifications

  • 기계공학 또는 관련 전공 학사 이상
  • 기구 설계 및 제품 개발 경력 5년 이하
  • PTC Creo 사용 가능자
  • 전자제품의 기구 설계, 공차 및 제조 공정에 대한 이해
  • Prototype 개발부터 양산까지의 제품 개발 프로세스에 대한 이해
  • 유관 부서 및 외부 협력사와 원활하게 협업할 수 있는 커뮤니케이션 역량

Preferred Qualifications

  • 스마트폰, 노트북, PC, Server 또는 Rack 제품의 기구 설계 경험
  • AI Accelerator, GPU, PCIe Card 등 Computing Hardware 설계 경험
  • 해외 ODM/OEM 또는 제조 파트너와의 협업 경험

Contact

Why Join FuriosaAI

The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up.

With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion.

At Furiosa, You Will Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI.

Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks.

Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS.

Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC.

Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition.

Contact

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