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Intel
Intel

Intel inside.

Research Intern for Supernode Solution

职能机器学习
级别实习
地点PRC, Shanghai
方式现场办公
类型实习
发布1周前
立即申请

Job Details:

Job Description:

Intel DCG China is seeking a passionate, self-motivated, and talented Research Intern to work on Scale-up Protocols and Memory Pooling for KV Cache-Centric Systems

Qualifications:

Responsibilities:

System Innovation and Cost Optimization for Disaggregated Supernode Architecture
o Explore architectural innovations for disaggregated AI supernode designs, with a focus on system-level performance trade-offs, BOM cost reduction strategies, and scalability from NPI to HVM.
GPU Interconnect Protocol and Memory Pooling Implementation
o Research and prototype Ethernet-native GPU interconnect protocols and distributed memory pooling mechanisms for large-scale AI inference and training clusters.

Qualifications:

Master's student in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Familiarity with core RDMA operations, including one-sided read/write, Send/Receive verbs, QP management, and memory registration.
Hands-on experience with Mellanox ConnectX-7 testing and diagnostic tools, including perftest, ibstat, mlnx_tuning, and OFED utilities.
Working knowledge of LLM inference benchmarking methodology and standard metrics (TTFT, TBT, token/s), with experience using frameworks such as vLLM, lm-evaluation-harness, or equivalent.

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

Business group:

The Sales and Marketing Group (SMG) leverages the product portfolio to drive Intel's revenue growth and market expansion, blending strategic initiatives with dynamic sales efforts to capture and retain customers. SMG is responsible for empowering the sales force with tools and insights needed to close deals and build lasting customer relationships. Sales analytics and market research ensure strategies are both targeted and impactful. In SMG, disciplined execution, creativity, and ambition are celebrated, providing ample opportunities for career advancement and skill development.

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.

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.

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关于Intel

Intel

Intel

Public

Intel Corporation is an American multinational technology company headquartered in Santa Clara, California. It designs, manufactures, and sells computer components such as central processing units (CPUs) and related products for business and consumer markets.

120,000+

员工数

Santa Clara

总部位置

$200B

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.0

企业文化

3.5

职业发展

3.0

管理层

2.5

65%

推荐率

优点

Good benefits and compensation

Innovative technology and projects

Collaborative supportive environment

缺点

Work-life balance challenges and long hours

Management issues and disorganization

High-pressure stressful environment

薪资范围

18个数据点

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data Scientist Grade 5

0份报告

$122,406

年薪总额

基本工资

-

股票

-

奖金

-

$104,045

$140,767

面试评价

2条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience