Ai application engineer Job at AMD (Shanghai)

Ai application engineer

AMD

Location:
China , Shanghai ▼
Shenzhen
Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: "AI SW Applications Engineer (GPU AI SW Developer Enablement) – China" position is in the AMD AI group, located in China.

Job Responsibility:

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

Requirements:

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

Nice to have:

Master's degree

Additional Information:

Job Posted:
April 23, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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