Hardware Design Verification Engineer
FuriosaAI
Hardware Design Verification Engineer
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 and implement block/IP/SoC verification plans, build verification test benches to enable block/IP/sub-system/SoC level verification
Develop functional tests based on verification test plan
Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage
Debug, root-cause and resolve functional failures in the design, partnering with the Design team
Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality
Bachelor's degree in Electrical Engineering, Computer Science or other technically related fields
3+ years experience in block/IP/sub-system and/or SoC level verification based on SystemVerilog/UVM based methodologies
Experience in EDA tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments
Experience in architecting and implementing Design Verification infrastructure and executing the full verification cycle
Master’s degree in Electrical Engineering, Computer Science or other technically related fields.
Experience in development of UVM based verification environments from scratch
Experience with IP or integration verification of high-speed interfaces like PCIe, UCIe, DDR
Experience with verification of ARM/RISC-V based sub-systems or SoCs
Experience with Chisel is a plus
Strong Python programming skills
Good communication skills
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