Teams at FuriosaAI

Design, implement, and optimize high-performance kernels on FuriosaAI's kernel stack for TCP/XPU architectures. Develop automated kernel generation, profiling and roofline-based performance tuning, diagnostic tools, and reproducible reference implementations to enable AI model integration and developer workflows.

Build and maintain enterprise-grade AI reference applications and internal AI services on FuriosaAI accelerators. Enable RAG, agentic systems, and RL inference engines with reproducible guides and reference implementations, validate real-world performance, support live demos, and engage with the global developer community via GitHub and open-source channels.

The role focuses on defining market segments and adoption strategies for products, synthesizing insights, and developing market-facing materials.