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Intel
Intel

Intel inside.

Research Intern for Supernode Solution

職種機械学習
経験インターン
勤務地PRC, Shanghai
勤務オンサイト
雇用インターン
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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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Intelについて

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+

従業員数

Santa Clara

本社所在地

$200B

企業価値

レビュー

10件のレビュー

3.4

10件のレビュー

ワークライフバランス

2.5

報酬

4.0

企業文化

3.5

キャリア

3.0

経営陣

2.5

65%

知人への推奨率

良い点

Good benefits and compensation

Innovative technology and projects

Collaborative supportive environment

改善点

Work-life balance challenges and long hours

Management issues and disorganization

High-pressure stressful environment

給与レンジ

18件のデータ

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data Scientist Grade 5

0件のレポート

$122,406

年収総額

基本給

-

ストック

-

ボーナス

-

$104,045

$140,767

面接レビュー

レビュー2件

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience