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 at NXP, a leading semiconductor company.

Responsibilities:

At the AI Competence Center, we are looking for a student passionate about enabling a variety NXP 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 NXP devices into open-source AI/ML compiler technologies.

Preferred Skills:

• Very strong skills in programming languages such as Python, or C/C++

• 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