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

AI in this role

pytorchtensorflow

computer-vision

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 Trust

N/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.

How we rate this

Undergraduate Intern Technical (OpenVINO, Neural Network Compression Tools) (f/m/d) at Intel rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Undergraduate Intern Technical (OpenVINO, Neural Network Compression Tools) (f/m/d) is an open job at Intel.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Germany, Munich.
The job was posted on October 5, 2026.
Seniority: intern.
Applications are handled by Intel. Apply on Intel

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionPyTorchTensorFlow

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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