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You will be updated with latest job alerts via emailAre 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 theAICompetence Centerwe arelooking for a student passionate about enabling a variety NXP devices with ML acceleration using modern AI compiler technologies such as MLIR. Leverage yourcreativity for implementing new fun and innovative ways of mapping AI workloads onto edge devices in one of our this internshipour team memberswill support youto study and work with opensource AI/ML compiler technologies. In your project you willlearntopushyour software development and machine learning skillsfurther. You willinvent implementand integrate methods to deploy neural networks onto heterogeneous systems. After your internship you and the team will be proud of havingdevelopeda first proofofconcept integration of NXP devices into opensource 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 knowhow 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 EdgeAI hightech company
Contract Duration: 6 months depending on your availability
Job location: Munich onsite min. 3 days/week
#LIf35fRequired Experience:
Intern
Full-Time