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Deep Learning Software Engineer

Intel

Deep Learning Software Engineer

Intel

PRC, Shanghai

·

On-site

·

Full-time

·

6d ago

Job Details:

Job Description:

Conducts design and development to build and optimize AI software. Designs, develops, and optimizes for AI frameworks and to contribute to external frameworks (e.g., Py Torch, SGlang). Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks. Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries. Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams. Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications:

Qualifications:

  • Master degree or Ph.D. in in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
  • Good programming skills of modern C++ and Python
  • Know foundations of Deep Learning theory and some hands-on experience
  • Communicate in English fluently (both written and spoken)
  • Are passionate on solving problems and positive thinker
  • Experience of performance optimization or high efficiency kernel development experience is a plus
  • Experience of Py Torch, SGLang, vLLM is a plus
  • Experience of LLM and deep understanding of model structure 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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About Intel

Intel

Intel

Public

Intel inside.

120,000+

Employees

Santa Clara

Headquarters

$200B

Valuation

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

2.5

Career

2.5

Management

2.0

25%

Recommend to a Friend

Pros

Offers internship opportunities

Interview opportunities available

Cons

Major job cuts and layoffs

Spam emails after rejection

Poor communication practices

Salary Ranges

6 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data Scientist Grade 5

0 reports

$122,406

total / year

Base

-

Stock

-

Bonus

-

$104,045

$140,767

Interview Experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience