Jobs
Required skills
Python
PyTorch
Machine Learning
Job Details:
Job Description:
Builds machinelearning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machinelearning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics. Interacts with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and dataprocessing methods into software. Completes programming, testing, debugging, documentation and/or deployment of libraries.
Qualifications:
- Minimum Qualifications
- Proficiency in programming languages such as Python, C++, or other relevant languages for AI software development.
- Experience with AI frameworks such as Py Torch,OpenVINO, Hugging Face Transformers, vLLM, SGlang
- Strong knowledge of artificial intelligence fundamentals, distributed systems, and algorithms.
- Familiarity with profiling tools and techniques for identifying performance inefficiencies in models.
- Demonstrated ability to optimize code for various hardware backends, including CPUs, GPUs.
- Experience and intention in developing or leveraging AI based software workflows
- Preferred Qualifications
- Advanced problem-solving skills with the ability to address complex computational and algorithmic challenges.
- Strong communication skills for effective collaboration across multidisciplinary teams.
- A passion for driving innovation and contributing to transformative AI technologies.
Job Type:
Experienced Hire
Shift:
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
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
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+
Employees
Santa Clara
Headquarters
$200B
Valuation
Reviews
2.7
1 reviews
Work-life balance
3.0
Compensation
3.5
Culture
3.5
Career
2.5
Management
2.5
25%
Recommend to a friend
Pros
Company culture
Benefits package
Good communications about culture
Cons
Poor rejection process
Spam emails to candidates
Frustrating candidate experience
Salary Ranges
16 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Data Scientist Grade 5
0 reports
$122,406
total per 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
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