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About This Role
- DCG China Platform Customer Satisfaction Team is looking for talent to drive Agentic AI technical implementation, ensuring seamless integration and usability across CSP customer requirements and cloud lifecycle processes.
- Key Responsibilities - Design and develop cloud systems and solutions with an emphasis on performance, reliability, and scalability. - Collaborate with cross-functional teams to integrate hardware, firmware, and software components across the systems lifecycle. - Execute benchmark testing, troubleshooting, and deployment of end-to-end cloud solutions. - Prepare technical documentation, including system designs, specifications, and integration guidelines. - Stay updated on emerging trends in AI systems, large language models (LLMs), microarchitecture, and hyperscale deployments.
Requirements
- Master degree in Computer Science, Electrical Engineering, or a related field, with 0-1 years of hands-on experience in cloud systems engineering, demonstrated through internships, academic projects, coursework, or hands-on training. - Proficiency in cloud engineering fundamentals and systems validation techniques. - Familiarity with scripting languages such as Python or C/C++ for automation and testing. - Basic knowledge of computer architecture, memory systems, and I/O interfaces. - Understanding of data analysis and problem-solving methodologies in cloud environments.
- Preferred Qualifications - Knowledge of GPU/HPU architectures and their role in large-scale AI workloads. - Experience with emerging trends in AI systems, including large language models (LLMs) and microarchitecture solutions. - Strong communication skills and the ability to collaborate effectively across diverse teams and stakeholders.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
627 positions
Job ID
/job/PRC-Shanghai/Agentic-AI--Customer-Co-Val-CG_JR0286410
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