AI Application Engineer

Responsibilities

• Lead the integration of diverse AI models including VLA, Vision, and Multimodal architectures using kernel programming models
• Build end-to-end reference applications such as RAG systems, agentic systems, RL inference engines, and Video processing pipelines
• Support live application demos and collaborate with the global developer community via GitHub and open-source channels
• Identify and prepare strategic contribution items for industry groups like OCP to establish technical leadership

Requirements

• BS in Computer Science, Electrical Engineering, or a related field
• Experience programming with Python, Rust, or other languages
• Experience in AI model implementation, optimization, and deployment
• Proficiency with deep learning frameworks like PyTorch and HuggingFace
• Experience with serving frameworks such as vLLM or SGLang
• Experience with performance profiling tools
• Ability to collaborate across engineering, product, and design teams

Preferred Qualifications

• MS or PhD in Computer Science or Electrical Engineering
• Experience in low-level systems programming or developing high-performance kernels for AI accelerators
• Experience in open-source or research projects involving agentic systems, RAG, or multimodal pipelines
• Experience in strategic technical leadership or authoring architectural guides