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求人Intel

AI Frameworks Software Engineer – Model Compression Algorithm

Intel

AI Frameworks Software Engineer – Model Compression Algorithm

Intel

PRC, Shanghai

·

On-site

·

Full-time

·

1w ago

Job Details:

Job Description:

Responsibilities include:

  • Develop Intel Neural Compressor product and related tools (auto-round), optimize for Intel AI platform, including CPU, GPU and AI Accelerator
  • Research and implement quantization and compression techniques for large language models (LLMs) and text-to-image/video generation models
  • Track and explore cutting-edge directions in efficient model deployment and inference/finetuning acceleration.

Qualifications:

Qualifications:

  • Master’s or PHD’s degree, major in computer science or related subjects
  • Solid understanding of deep learning, deep learning framework and large language model (LLM) fundamentals
  • Familiarity with model compression techniques such as quantization and pruning
  • Proficiency in Python/C++ or other programming languages commonly used for deep learning development
  • Strong sense of teamwork and group collaboration
  • Good English oral and written skill

Preferred Qualifications:

  • Strong self-motivation and problem-solving skills
  • Passion for technological innovation and practical engineering, with a drive for continuous exploration and improvement
  • Experience in model fine-tuning, inference optimization or related tool development is a plus

Job Type:

College Grad

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

2.7

1件のレビュー

ワークライフバランス

3.0

報酬

3.5

企業文化

3.5

キャリア

2.5

経営陣

2.5

25%

友人に勧める

良い点

Company culture

Benefits package

Good communications about culture

改善点

Poor rejection process

Spam emails to candidates

Frustrating candidate experience

給与レンジ

16件のデータ

Senior/L5

Senior/L5 · Advanced Field Service Engineering Data Analyst

1件のレポート

$132,904

年収総額

基本給

$102,234

ストック

-

ボーナス

-

$132,904

$132,904

面接体験

2件の面接

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