Agentic AI Customer Co-Val CG

Intel
Shanghai
Workplace: OnsiteFull timeFunction: Data Science & Machine Learning0Education: mastersSkills: ["Communication","Collaboration"]

Drive agentic AI technical implementation for the DCG China Platform Customer Satisfaction team, ensuring seamless integration across CSP customer requirements and cloud lifecycle processes. You’ll design and build cloud systems with a focus on performance, reliability, and scalability; collaborate across hardware/firmware/software teams; execute benchmark testing and deployment; and produce technical documentation while staying current on AI systems, LLMs, and hyperscale deployments.

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FursaFursa
Intel
Intel
2 hours ago

Agentic AI Customer Co-Val CG

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Last checked: 2 hours agoStatus: Live

Job Summary

Drive agentic AI technical implementation for the DCG China Platform Customer Satisfaction team, ensuring seamless integration across CSP customer requirements and cloud lifecycle processes. You’ll design and build cloud systems with a focus on performance, reliability, and scalability; collaborate across hardware/firmware/software teams; execute benchmark testing and deployment; and produce technical documentation while staying current on AI systems, LLMs, and hyperscale deployments.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Design and develop cloud systems and solutions focused 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 AI systems trends, including LLMs, microarchitecture, and hyperscale deployments.

Key Requirements

  • •Master’s degree in Computer Science, Electrical Engineering, or a related field, with 0–1 years of hands-on experience through internships, projects, coursework, or 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.
Education:Master's in Computer Science, Electrical Engineering, or a related field
Skills:CommunicationCollaboration
Tech Stack:PythonC/C++Large language models (LLMs)MicroarchitectureGPU/HPU architecturesHyperscale deployments

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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