Internship in Embedded AI Engineering

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

• You will contribute to the development of machine/deep learning-based Bosch products.
• Furthermore, you will analyze the feasibility of ML algorithms in embedded systems and work on their implementation.
• In addition, 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.
• Finally, you are 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: in embedded systems and machine learning / deep learning, programming experience in Python and C
• Personality and Working Practice: you are a team player, have strong communication skills, are creative and work in a motivated, independent and structured manner
• Languages: fluent in English

Additional Information

Start: according to prior agreement
Duration: 6 months

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?
Ahsan Saeed (Functional Department)
+49 173 3894549

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