Hardware AI Chip Architect
FuriosaAI
Hardware AI Chip Architect
FuriosaAI
Power-efficient AI inference accelerator chips
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.
Define architecture/microarchitecture specifications. Take ownership of one or more chip modules and implement them in RTL.
Converge functionality and PPA of the design.
Implement your designs in RTL (System Verilog or other HDLs) and iterate the design for optimal power, timing, and area.
Create simple test benches and debug complex logic simulations.
Master's degree in Electrical Engineering, Computer Science or equivalent practical experience.
2+ years of industry experience in chip design, specializing in RTL design (architecture and implementation), logic synthesis, verification, and timing closure
Experience in microprocessor simulator implementation in depth with C++ or other high-level languages
Experience in modeling PPA of the design
Experience in scripting languages to automate simulation and analysis
Ph.D in Electrical Engineering, Computer Science or equivalent practical experience is a plus
Experience in accelerator design is a plus
Experience with highly pipelined designs, and with multiple-clock-domain designs.
Knowledge of machine learning algorithms, compiler, processor design, accelerators, and/or memory hierarchies.
Experience with Chisel or RISC-V is a plus
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.
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.
Explore more opportunities at FuriosaAI