Algorithm – AI Research Engineer Intern
FuriosaAI · Seoul, South Korea
$15k - $34k
Full-Time
Job description
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 FuriosaAI and the AI Research Part
FuriosaAI aims to be a full-stack frontier AI company, providing its own AI models alongside its high-performance AI semiconductors. The AI Research Part was formed to realize this frontier AI vision. This role focuses on outstanding AI research capabilities and the ability to implement them in real models and systems, rather than on prior NPU experience. We are looking for people who will develop FuriosaAI’s own AI models and conduct frontier AI research, connecting the results to global AI impact.
Research focus
The AI Research Part currently focuses on three research areas: developing proprietary LLMs specialized for agentic tasks such as coding and tool use; conducting joint research with leading international research institutions to expand FuriosaAI’s frontier AI research capabilities and global research network; and developing asynchronous RL pipelines and proprietary LLM post-training capabilities, aiming to use FuriosaAI NPUs for LLM RL post-training where inference (rollout) accounts for a large share of the workload. The team currently focuses on LLM research, and you will mainly work on LLM projects after joining. However, your prior experience does not need to be limited to LLMs. We welcome people with strong research and development experience across AI fields, including Computer Vision.
Preferred qualifications
Experience researching or developing agentic AI, such as coding LLMs or tool-use agents. Experience researching or developing LLM post-training. Contributions to AI-related open-source projects. Ability to communicate smoothly with international institutions.
Minimum qualifications
Currently enrolled in a master's program in an AI-related field, or equivalent research and development experience. Experience developing AI technology based on major deep-learning frameworks such as PyTorch. Able to travel internationally without restriction.
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
Minimum qualifications
Currently enrolled in a master's program in an AI-related field, or equivalent research and development experience. Experience developing AI technology based on major deep-learning frameworks such as PyTorch. Able to travel internationally without restriction.