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The Role
Design, develop, benchmark, troubleshoot, and deploy cloud systems for Agentic AI. Integrate hardware, firmware, and software across system lifecycles, prepare technical documentation, and collaborate with cross-functional teams while staying current on LLMs, microarchitecture, and hyperscale AI deployments.
Summary Generated by Built In
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.
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.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:College GradShift:Shift 1 (China)Primary Location: PRC, ShanghaiAdditional Locations: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 TrustN/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.*
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.Skills Required
- Master's degree in Computer Science, Electrical Engineering, or related field
- 0-1 years hands-on experience in cloud systems engineering (internships, projects, coursework)
- 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 and HPU architectures for large-scale AI workloads
- Experience with LLMs and microarchitecture solutions
- Strong communication and cross-team collaboration skills
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
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