Develop a comprehensive AI reference application and maintain internal AI services to accelerate real-world deployment of RNGDs.
Develop high-impact AI applications and technical resources to enable the success of the global developer community.
Develop enterprise-focused, high-quality reference applications and sample code that enable developers to effectively understand and utilize FuriosaAI’s SW stack and integrations.
Drive end-to-end application enablement such as RAG systems, agentic systems, and RL inference engines on FuriosaAI accelerators, creating reproducible guides and reference implementations.
Evaluate applications against real-world scenarios to validate performance, reliability, and usability of RNGD deployments.
Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
Experience in full-stack (frontend and backend) development of AI services.
Experience collaborating across engineering, product, and design teams to align software development with product requirements.
MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic.
Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines.
Skills Required
- BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field
- Experience in full-stack (frontend and backend) development of AI services
- Experience collaborating across engineering, product, and design teams
- MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field
- Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic
- Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines
What We Do
FuriosaAI designs and develops data center accelerators for the most advanced AI models and applications. Our mission is to make AI computing sustainable so everyone on Earth has access to powerful AI. Our Background Three misfit engineers with each from HW, SW and algorithm fields who had previously worked for AMD, Qualcomm and Samsung got together and founded FuriosaAI in 2017 to build the world’s best AI chips. The company has raised more than $100 million, with investments from DSC Investment, Korea Development Bank, and Naver, the largest internet provider in Korea. We have partnered on our first two products with a wide range of industry leaders including TSMC, ASUS, SK Hynix, GUC, and Samsung. FuriosaAI now has over 140 employees across Seoul, Silicon Valley, and Europe. Our Approach We are building full stack solutions to offer the most optimal combination of programmability, efficiency, and ease of use. We achieve this through a “first principles” approach to engineering: We start with the core problem, which is how to accelerate.
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