AI Software Engineering Graduate Intern

The Role and Impact Join Intel as an AI Software Engineering Graduate Intern, where you'll actively contribute to the creation and optimization of AI workload solutions. In this role, you will focus on reproducing AI inference workloads, analyzing system performance, identifying bottlenecks, and translating insights to support hardware/software co-design. This hands-on opportunity allows you to gain practical experience in shaping the next generation of AI systems while enhancing your technical knowledge and skills. Business group Intel's Data Center Group (DCG) drives innovation in data-centric technologies, delivering solutions that power global data centers and enable advanced computing capabilities for enterprise and cloud environments. As part of DCG, you will join a collaborative engineering environment dedicated to accelerating AI adoption through cutting-edge hardware and software integration, contributing to Intel's mission of transforming data-driven technologies. Key Responsibilities - Collaborate on profiling and optimizing AI algorithms, frameworks, and software architectures for performance and accuracy. - Reproduce real-world production AI inference workloads and develop representative workload profiles. - Conduct performance analysis across software and hardware stacks, identifying system bottlenecks. - Translate workload insights to support hardware/software co-design initiatives for AI systems. - Assist in applied research and integration of hardware/software solutions for advanced AI systems.

Minimum Qualifications - Enrollment in a Bachelor's degree program in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field with 0-1 years of hands-on experience in the domain, showcasing skills gained through internships, academic projects, coursework, or hands-on training, OR a Master's degree in a relevant field with no prior professional experience. - Proficiency in Python programming for experimentation and development. - Fundamental knowledge of AI algorithms, models, and workload development. - Familiarity with AI frameworks such as PyTorch or TensorFlow. - Basic understanding of computer architecture concepts, performance analysis, and profiling techniques. Preferred Qualifications - Strong analytical and problem-solving skills. - Ability to operate effectively in a collaborative, cross-functional engineering environment. - Interest in AI systems research and real-world AI applications across diverse domains. Bring your creativity, passion, and unique perspective to Intel, and be part of shaping the future of AI technologies. Apply today and take the next step in your journey toward innovation.

          

Student / Intern

Shift 1 (China)

PRC, Shanghai

PRC, Beijing

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.

N/A

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.