AI Software Engineering Graduate Intern

Intel Corporation

. Collaborate on profiling and optimizing AI algorithms, frameworks, and software architectures for performance and accuracy .

Posted 10/9/2026internshipShanghai • ChinaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Python programming and familiar with AI frameworks such as PyTorch and TensorFlow, with a strong foundation in AI algorithms and performance analysis. Demonstrates analytical problem-solving skills and the ability to collaborate effectively in cross-functional engineering teams.

Highest-signal resume keywords

Python ProgrammingAI AlgorithmsPyTorchTensorFlowPerformance Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingAI AlgorithmsPerformance AnalysisProfiling TechniquesWorkload Development

Soft Skills

Analytical SkillsProblem-Solving SkillsCollaboration

Industry Keywords

Computer EngineeringElectrical EngineeringComputer ScienceAI SystemsHardware/Software Co-Design

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Hands-on opportunity to gain practical experience in shaping the next generation of AI systems
Opportunity to enhance technical knowledge and skills
Collaborative engineering environment
Applied research and integration experience with hardware/software solutions