Ai application engineer

• Capture and prioritize developer and customer requirements to shape AMD's AI software feature planning and solutions roadmap
• Lead and contribute to collaboration with AI open-source projects, strengthening the developer community and broader ecosystem
• Partner with internal AI software engineering teams to drive developer enablement through performance optimization, OSS contributions, Discord/GitHub support, AI Academy initiatives, solutions, reference designs, blogs, tutorials, and user guides
• Work closely with internal AI software teams to ensure the success of AI developers, communities, and customer proof-of-concepts (PoCs)
• Provide actionable feedback and requirements for AI software across cloud, client, and edge deployments

• Developer enablement with leading open-source communities and AI frameworks, including PyTorch, vLLM, SGLang, Unsloth, PaddlePaddle, Mooncake, TileLang, LangChain, VERL, and LLaMA-Factory, across both training and inference workflows
• Strong experience with LLMs and Generative AI, including transformer architectures, attention mechanisms, MoE models, and end-to-end AI pipelines
• Solid understanding of GPU-accelerated computing
• familiarity with the ROCm AI software stack is strongly preferred
• Proven ability to collaborate effectively with open-source software communities to drive developer enablement and ecosystem activities
• Excellent communication and presentation skills, with the ability to clearly articulate architectural proposals, technical trade-offs, and value propositions to diverse stakeholders
• Bachelor's degree required
• Master's degree preferred

Master's degree