Agentic AI Customer Co-Val CG

Intel Corporation; Prescott (AZ); On-site; USD 27,000 - 52,000; Full time

Job summary

Intel Corporation in Shanghai, PRC, is seeking a College Grad to drive Agentic AI technical implementation and cloud solutions across CSP customer requirements and cloud lifecycles.

The role emphasizes collaboration across hardware, firmware, and software teams, with focus on performance, reliability, and scalability of cloud systems. Candidates should have a Master’s degree and up to 1 year of hands-on cloud systems experience.

Qualifications

• Master degree in Computer Science, Electrical Engineering, or related field with 0–1 years of hands-on cloud systems engineering experience.
• 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.
• Knowledge of GPU/HPU architectures and their role in large-scale AI workloads.
• Experience with emerging trends in AI systems, including LLMs and microarchitecture solutions.

Responsibilities

• Design and develop cloud systems and solutions with emphasis on performance, reliability, and scalability.
• Collaborate with cross-functional teams to integrate hardware, firmware, and software 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, LLMs, microarchitecture, and hyperscale deployments.

Skills

Cloud engineering fundamentals

Systems validation techniques

Python/C/C++ scripting

Computer architecture basics

Data analysis methodologies

GPU/HPU architectures

LLMs and microarchitecture trends

Education

Master's degree in CS/EE

Tools

None

Job description

Job Details:

Job Description:

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.

• 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.

Qualifications:

• Minimum Qualifications
• 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.

Job Type:

• Job Type: College Grad
• Shift: Shift 1 (China)
• Primary Location: PRC, Shanghai
• Additional Locations: N/A

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.