Undergraduate Intern Technical (OpenVINO, Neural Network Compression Tools) (f/m/d)

Location: Germany, Munich

Job Details

Job Description

Join Intel's OpenVINO Team and Shape the Future of AI

Are you passionate about Artificial Intelligence, Deep Learning, and Software Engineering? Do you want to work on cutting-edge AI technologies that help neural networks run faster and more efficiently on real-world devices?

Join the Neural Network Compression Tools Team within Intel's OpenVINO organization and gain hands-on experience developing technologies used to optimize state-of-the-art AI models.

What You'll Do

As an AI & Deep Learning Intern, you will contribute to the development of the Neural Network Compression Framework (NNCF), a key technology used to improve the performance and efficiency of deep learning models.

During your internship, you will

Explore and evaluate state-of-the-art machine learning and neural network optimization techniques

Contribute to the development of compression algorithms that improve AI inference performance

Work with modern deep learning frameworks such as PyTorch, TensorFlow, and OpenVINO

Collaborate with experienced AI engineers and researchers

Learn about the latest neural network architectures and industry-leading AI technologies

Gain exposure to Intel hardware platforms and AI software ecosystems

What You'll Gain

Hands-on experience with real-world AI products and technologies

Mentorship from experts in Deep Learning and Software Engineering

Exposure to state-of-the-art AI models, frameworks, and optimization techniques

An opportunity to contribute to open-source and production-ready software

Flexible working hours that fit your academic schedule

Valuable industry experience at one of the world's leading technology companies

Qualifications

Minimum Qualifications

Currently pursuing a Bachelor's or Master's degree in: Computer ScienceMathematicsPhysicsSoftware Engineering or a related field

Undergraduate student in the 3rd year or above

Programming experience in Python

Availability to work at least 20 hours per week

Preferred Qualifications

Knowledge of Machine Learning or Deep Learning concepts

Understanding of Computer Vision or Image Processing

Experience with PyTorch, TensorFlow, or OpenVINO

Curiosity, problem-solving mindset, and eagerness to learn

If you're excited about AI, eager to learn, and ready to make an impact, we'd love to hear from you. Apply and help us build the future of intelligent computing.

Job Type:Student / Intern

Shift:Shift 1 (Germany)

Primary Location: Germany, Munich

Additional Locations

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 TrustN/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

The minimum Annual Salary for this job which could be performed in Germany is: 11 870,00 €

The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

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.

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