
Intel inside.
Research Intern for Supernode Solution
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
PublicIntel 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
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