For the successful enabling of RNGD's global developer community, the AI Application Engineer will bridge the gap between FuriosaAI's software stack and market demand by developing a comprehensive AI application ecosystem, with high-impact AI applications and technical resources, centered around our FuriosaAI apps repository.
Furiosa-apps Repository: https://github.com/furiosa-ai/furiosa-apps
Responsibilities
Model Enablement: Lead the integration of diverse AI models including VLA, Vision, and Multimodal architectures by utilizing our kernel programming model to ensure performance and developer readiness.
Reference Application Development: Build end-to-end applications such as RAG systems, agentic systems, RL inference engines, and Video processing pipelines by incorporating top-stack toolchains and industry-standard frameworks.
Ecosystem Development: Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
Industry Leadership: Identify and prepare strategic contribution items for industry groups such as OCP to establish FuriosaAI’s technical leadership and market presence.
BS in Computer Science, Electrical Engineering, or a related field.
Experience in programming with Python, Rust, or other programming languages.
Experience in AI model implementation, optimization, and deployment using deep learning frameworks (PyTorch, HuggingFace), serving frameworks (vLLM, SGLang), and performance profiling tools.
Experience collaborating across engineering, product, and design teams to align software development with product requirements.
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Experience in low-level systems programming or developing high-performance kernels for AI accelerators.
Experience in open-source or research projects on AI applications such as agentic systems, RAG, or multimodal pipelines.
Experience in strategic technical leadership, including authoring architectural guides or delivering technical presentations to industry-standard groups such as OCP.
Skills Required
- BS in Computer Science, Electrical Engineering, or a related field
- Experience in programming with Python, Rust, or other languages
- Experience in AI model implementation and deployment using deep learning frameworks
- Experience collaborating across engineering, product, and design teams
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.
