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.

 

About the role

Productization Engineering 팀은 Silicon Out 이후부터 양산 및 고객 지원까지, 제품이 양산 단계에 안착하는 전 과정을 담당합니다.
Silicon Bring-Up을 시작으로 각 IP 블록의 Function·Characterization을 검증하고, 특히 PCIe·DRAM·Ethernet·D2D 등 High-Speed Interface를 Enabling하여 제품 성능을 극대화합니다. 이를 통해 확보한 안정성을 기반으로 Mass Production 진입을 이끌고, 양산 이후에는 고객 기술 지원까지 수행합니다.

 

Responsibilities

• Bring up 1st Silicon (eg : PCIe/DRAM/Ethernet …)

• Validate all functions of the main IPs(eg : PCIe/DRAM/Ethernet, …)

• Evaluate LVCC of the main supply voltage domain & eye opening margin

• Enable high speed interface (eg : PCIe/DRAM/Ethernet, …)

• Debug issue & find workaround solution for problems

• Ensure the reliability and mass-producibility (yield improvement/manufacturability) of an AI accelerator

• Customer Technical Support & failure analysis

• Feasibility test for SW version up at system level

 

Minimum Qualifications

• Arm Architecture, AMBA BUS, Computer 구조/Programing 이해

• C, python, bash 와 같은 programming language 이해 및 활용 능력

• PCB 회로도 이해, 전자 회로 기본 : design rule 등 이해도

 

Preferred Qualifications

• Linux 활용 능력 (ubuntu) 및 device driver (Firmware) 구현 능력

• Firmware Level IP control 또는 IP function 및 특성 이해

• Signal & Power Integrity 이해 (ODT, Drive Strength, Vref, Setup/Hold Timing margin)

• PCIe, Ethernet, UCIe, DRAM Silicon 검증 역량

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

• talent@furiosa.ai