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Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 2, 2026. FuriosaAI scores A on the Alion truth index.

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FuriosaAI is a South Korean semiconductor company that designs neural processing units for data centre AI inference, including the Warboy chip for computer vision and the RNGD accelerator for large language models and multimodal workloads. Founded in 2017 by former Samsung and AMD engineers, it develops its own compiler and software stack and has offices in Silicon Valley and Singapore. The company is headquartered in Seoul, South Korea.

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

We are looking for a senior power engineer to define the rack-level power delivery architecture for high-density AI computing systems.

You will establish the rack power budget and define distribution from the facility input all the way to compute and networking components, balancing efficiency, transient response, reliability, thermal impact, and mechanical constraints. Detailed PDN simulation and signal/power integrity analysis are performed by our SI/PI team; this role owns the architecture, the requirements, and the technical review of vendor and partner designs.

Key Responsibilities

  • Define and allocate rack-level power budgets across compute, networking, cooling, and auxiliary loads
  • Develop the rack power distribution architecture, including busbar, power shelf, and tray-level distribution
  • Define power delivery requirements in coordination with package, silicon, and board teams
  • Define transient response and power quality requirements for high-current accelerator loads
  • Evaluate high-voltage rack power distribution options and redundancy schemes
  • Assess the impact of power density on mechanical and thermal architecture
  • Define technical requirements for power vendors and technically govern their designs
  • Support CM/ODM partners through prototype builds and production

Minimum Qualifications

  • Extensive experience in power architecture for servers, data centers, AI/HPC, or other high-density computing systems
  • Strong understanding of rack-level power distribution and power conversion topologies
  • Experience with high-current power delivery and PDN behavior
  • Understanding of data center power infrastructure and power quality requirements
  • Experience defining technical requirements for external vendors
  • Excellent English communication skills

Preferred Qualifications

  • Experience with racks above 100 kW
  • Experience with 48V busbar distribution
  • Experience with OCP ORv3 or ORW power architectures
  • Experience with backside power delivery or integrated voltage regulator (IVR) integration
  • Experience with high-power transient mitigation

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. 

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