Internship Embedded AI Engineering
Reutlingen, Germany
Applications have closed
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
- During your assignment, you will contribute to the development of machine/deep learning-based Bosch products.
- You will analyze the feasibility of ML algorithms in embedded systems and work on their implementation.
- Furthermore, you will deploy algorithms to embedded devices and evaluate their performance.
- You will design and implement prototyping setups to acquire data for continuous improvement of the algorithms.
- Last but not least, you will be in close communication with product development teams, clarifying technical requirements and identifying customer needs.
Qualifications
- Education: Master studies in the field of Electrical Engineering, Computer Science/Engineering, Physics, Mathematics or comparable
- Experience and Knowledge: experience in the areas of embedded systems and machine learning / deep learning; programming experience in Python and C
- Personality and Working Practice: creative team player with strong communication skills, who works in a motivated, independent and structured manner
- Enthusiasm: enthusiasm for artificial intelligence, lively interest in software and system development and enjoy experimenting with prototypes
- Languages: very good written and spoken English, German is a plus
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this working student position is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate 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?
Jonas Messner (Business Department)
+49 173 1856274
Tags: Computer Science Deep Learning Engineering Machine Learning Mathematics Physics Prototyping Python Spark
Perks/benefits: Career development
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