Intern (f/m/d) AI Compiler Engineering

This internship at the Artificial Intelligence Competence Center focuses on AI compiler technologies. The intern will contribute to real-world applications by developing innovative ideas for mapping AI workloads onto edge devices. Key tasks include studying open-source AI/ML compiler technologies like MLIR, inventing and implementing methods to deploy neural networks on heterogeneous systems, and developing a proof-of-concept integration for NXP devices. The role is ideal for students passionate about machine learning and AI.

Must Have

• Implement innovative ways of mapping AI workloads onto edge devices
• Study and work with open-source AI/ML compiler technologies
• Invent, implement, and integrate methods to deploy neural networks onto heterogeneous systems
• Currently pursuing a Master's degree in computer sciences, computer engineering or related fields

Good to Have

• First experience with AI compiler frameworks
• First experience with Neural Processing Units (NPUs)
• Capability to work independently and accurately
• Strong critical and analytical thinking
• Good English communication skills

Perks & Benefits

• Flexible working hours
• Hybrid work setup possibility
• 2.5 days of vacation per month (for voluntary internship)
• Networking initiatives and Employee Resource Groups (e.g., Young Community, No Extra Planet, NXP Equal, Women in NXP)

Are you inspired by machine learning, data, AI, currently pursuing your studies, and ready for a new challenge working on AI compiler technologies? Do you want to contribute to real world applications and gain experience developing innovative ideas? Then you will want to be a part of the growing Artificial Intelligence Competence Center, a leading semiconductor company.

Responsibilities:

At the AI Competence Center, we are looking for a student passionate about enabling a variety devices with ML acceleration using modern AI compiler technologies such as MLIR. Leverage your creativity for implementing new, fun, and innovative ways of mapping AI workloads onto edge devices in one of our light-house projects. During this internship, our team members will support you to study and work with open-source AI/ML compiler technologies. In your project, you will learn to push your software development and machine learning skills further. You will invent, implement, and integrate methods to deploy neural networks onto heterogeneous systems. After your internship, you and the team will be proud of having developed a first proof-of-concept integration of devices into open-source AI/ML compiler technologies.

Preferred skills:

• Very strong skills in programming languages such as C/C++ or Python
• Profound knowledge of embedded systems
• Ideally first experience with AI compiler frameworks and/or Neural Processing Units (NPUs).
• Experience with Linux environments
• Experience with development tools such as VSCode and version control systems such as git.
• Fundamental know-how of neural network (PyTorch/Tensorflow)

Your Profile:

• Currently pursuing a degree in computer sciences, computer engineering or other related fields (Master)
• Capability to work independently and accurately
• Strong critical and analytical thinking
• Good English communication skills for interaction with our multinational team across multiple sites
• Looking for a challenging internship in a leading Edge-AI high-tech company

Contract Duration:

• ~6 months, depending on your availability

What Offers:

• Flexible working hours
• The possibility to work in a hybrid setup
• 2.5 days of vacation per month incase of volutary internship
• Networking initiatives and Employee Resource Groups such as Young Community, No Extra Planet, Equal, Women in , and more — fostering both professional and personal exchange

Please note:

This vacancy is advertised for multiple sites in Germany. Due to internal regulations, we can only offer mandatory internships at our Hamburg location. If a mandatory internship is not part of your study program, we kindly ask you not to apply. This restriction does not apply if you are interested in pursuing this role at our sites in Munich or Dresden.

The successful candidate may/will be responsible for security related tasks.

The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.

More information about in Germany...

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