Internship Code Generation for Neural Networks - remote possible

Job Description

Become part of our innovative and distributed team and work at the forefront of technology in the field of artificial intelligence. We are developing a state-of-the-art code generator that enables the efficient deployment of neural networks on embedded devices. Your work will significantly contribute to optimizing the performance and efficiency of our systems.

• During your internship, you will evaluate and compare various memory planning algorithms such as Z3, Google OR-Tools, and Gurobi.
• You will identify the optimal tool that provides the fastest and most efficient solutions for our requirements.
• Furthermore, you will collaborate closely with our experts in the fields of Machine Learning and Compiler Development.
• Finally, you will gain valuable insights into the world of neural networks and their application on embedded systems.

Qualifications

• Education: studies in the field of Computer Science, Electrical Engineering or comparable
• Experience and Knowledge: excellent programming skills and practical experience with Python; knowledge of algorithms and data structures; basic knowledge of Machine Learning; initial experience with C and embedded devices is beneficial; knowledge of compiler development is an advantage
• Personality and Working Practice: you excel at contributing as a proactive team player with a very structured workstyle, while also being highly capable of taking initiative and handling tasks independently
• Work Routine: mobile working within Germany (the internship will be conducted primarily remotely; collaboration and supervision will take place digitally via Microsoft Teams)
• Languages: businessfluent in English

Additional Information

Start: according to prior agreement
Duration: 6 months

You want to work flexibly from your home in Germany or prefer working at the Bosch location in Reutlingen? For positions with the addition “remote possible”, you can agree on the appropriate collaboration for your task together with your manager and your team within the framework of Smart Work.

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Benjamin Wagner (Functional Department)
+49 7121 35 34793

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