About the Job

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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Contact

• recruit@furiosa.ai