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 technical program manager to drive the development of our rack-scale AI computing systems from prototype through mass production, working directly with CM/ODM partners and system vendors.

This role owns the execution path between our internal design teams and the external partners who build the system. It is a hands-on engineering program role, not a coordination role: you will be expected to judge build issues technically and to decide what blocks a gate and what does not.

Key Responsibilities

• Own the EVT/DVT/PVT build plan and drive its execution with CM/ODM partners
• Triage build issues, drive root-cause analysis with internal design teams, and manage engineering change orders
• Manage rack-level BOM and configuration control across compute, networking, power, and cooling subsystems
• Define and run quality gates for partner deliverables; own readiness criteria for each build phase
• Serve as the single interface between internal design teams and external manufacturing partners
• Track schedule, cost, and risk across the program and escalate with a recommended decision
• Drive production transfer and early production issue resolution

Basic Qualifications

• Extensive experience in NPI or CM/ODM program management for servers, networking equipment, or comparable complex hardware
• Engineering background sufficient to assess hardware build issues technically
• Proven experience taking a hardware product from prototype through volume production
• Experience managing overseas manufacturing partners, including travel
• Excellent English communication skills

Preferred Qualifications

• Experience with AI servers or rack-scale system programs
• Experience with liquid-cooled system builds
• Experience with OCP-based platforms
• Familiarity with high-speed interconnect and high-power system bring-up issues

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