Job Details:
Job Description:
The Role and Impact
As an AI Solutions Engineering Undergraduate Intern, you will play a pivotal role in supporting the development of integrated AI solutions. You will apply your foundational knowledge of AI frameworks, system design, and machine learning to contribute to the creation, optimization, and deployment of solutions tailored to real-world AI use cases. Through hands-on experience and collaborative projects, you will gain valuable industry insights while building the technical skills necessary to launch your future career in AI engineering
Business Group
You will be joining Intel's Data Center Group (DCG), a dynamic team dedicated to accelerating innovation in cloud computing, enterprise solutions, and data-centric technologies. DCG focuses on delivering cutting-edge products and solutions that drive efficiency, scalability, and performance for Intel's customers. As part of this group, you will contribute to projects that empower businesses around the world to harness the full potential of AI and machine learning.
Key Responsibilities
- Support the design and development of integrated AI solutions optimized for reliability and scalability.
- Collaborate with software and hardware teams to enhance systems architecture and ensure seamless AI performance.
- Assist in performance benchmarking and validation of AI solutions across CPUs and GPUs.
- Apply foundational knowledge of AI frameworks and algorithm optimization to address customer requirements.
- Engage in hands-on projects, gaining exposure to AI productization platforms and systems engineering fundamentals.
- Learn and apply problem-solving skills to tackle real-world challenges in AI and machine learning.
Qualifications:
Minimum Qualifications
- Pursuing a Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Demonstrated skills in foundational Artificial Intelligence (AI) concepts, gained through internships, academic projects, coursework, or hands-on training.
- Strong understanding of computer architecture and systems engineering principles.
- Basic proficiency in algorithm optimization for CPUs and GPUs.
Preferred Qualifications
- Familiarity with AI productization platforms and systems validation methodologies.
- Solid problem-solving and analytical thinking skills.
- Effective communication and collaboration skills to work in a team-oriented environment.
- Enthusiasm for innovation and a passion for advancing AI technologies.
Join us to explore exciting challenges, collaborate with industry-leading experts, and contribute to the future of AI solutions.
Job Type:
Student / Intern
Shift:
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
PRC, Beijing
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 be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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.