Sys/Test Validation Engineer Job Listing at AMD in Shanghai, Shanghai (Job ID 85817-en-us)

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.  

WHAT YOU'LL BE DOING:

• Drive the development of AI agent systems and tools to solve multiple teams' problems (improve efficiency, provide new solutions, etc.), including designing and orchestrating complex multi-agent architectures and implementing machine/deep learning models.
• Design, build, and maintain sophisticated multi-agent systems that coordinate autonomous agents for planning, reasoning, tool use, and task execution across diverse workflows.
• Develop and integrate MCP (Model Context Protocol) servers, custom skills, and tool-use frameworks to enable context-aware, extensible AI agent capabilities.
• Analyze large datasets to extract meaningful insights and guide model and agent development.
• Collaborate with cross-functional teams to understand requirements and deliver AI agent-based and ML-based solutions.
• Document and present agent system architectures, model/AI tool development processes, results, and insights to both technical and non-technical stakeholders.
• Participate in AI solution reviews for multiple teams and adhere to best practices in software development and agent system design.
• Share knowledge in AI agent development, MCP integrations, and tool development with a broad audience.

Requirements:

• AI Agent & Multi-Agent Systems:

  • Proven experience designing, building, and deploying AI agent systems, including complex multi-agent orchestration (e.g., supervisor/worker, hierarchical, or graph-based agent topologies).

  • Deep hands-on experience with agent frameworks and libraries (e.g., LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent).

  • Strong understanding of agent design patterns: tool use, retrieval-augmented generation (RAG), planning and reasoning loops, memory management, and human-in-the-loop workflows.

  • Hands-on experience developing and consuming MCP (Model Context Protocol) servers and custom skills/tools, enabling agents to interact with external services, APIs, and enterprise systems in a standardized, context-aware manner.

• Core AI/ML Experience:

  • Proven track record in AI model design, algorithm development, and model training/finetuning across various domains (e.g., Computer Vision, NLP, Generative AI).

  • Hands-on experience with major deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).

  • Demonstrated research capability, evidenced by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc.), is highly desirable.

• Software Engineering Proficiency:
  • Strong programming skills in Python and C/C++, with a focus on building scalable and maintainable software.
  • Experience building production-grade agent pipelines with proper error handling, observability, and evaluation/testing frameworks.

• Education:
  • M.S. or Ph.D. in Machine Learning, Deep Learning, Artificial Intelligence, or a related Computer Science field with a focus on AI.

Preferred Qualifications:

• Understanding of computer architecture and hardware/software co-design.
• Familiarity with post-silicon system validation environments and workflows.
• A demonstrated commitment to continuous learning and staying abreast of the latest AI advancements, such as the evolution of foundational architectures (e.g., Transformers), the rise of multi-modal systems, and key developments from leading AI research institutions and industry pioneers
• Experience with the end-to-end MLOps lifecycle, including data preparation, versioning, deployment, and monitoring is a plus.

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Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's “Responsible AI Policy” is available here.

This posting is for an existing vacancy.