Internship Deep Learning Perception for Autonomous Driving

  • Robert-Bosch-Campus 1, 71272 Renningen, Germany
  • Full-time
  • Legal Entity: Robert Bosch GmbH

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

  • Create something new: You implement cutting-edge Deep learning algorithms with a strong focus on real-time performance - you will find the bits and bytes that speed-up and automate our development system.
  • Help shape the future: Your algorithms improve highly automated driving and you support the automation framework (unit tests, nightly builds, measurement recording).
  • Take responsibility: You are responsible for the implementation, verification, and test of the algorithms. Beyond that you support the integration and test of your algorithms into a real automated vehicle.
  • Experience cooperation: You work in an agile and diverse research team.
  • Structured evaluation: You evaluate your algorithms with real-world data sets.

Qualifications

  • Education: Master studies in the field of computer science or robotics with excellent academic achievements
  • Personality: Highly self-motivated, flexible, logical thinking and strong team player
  • Working Practice: Goal-oriented and structured
  • Experience and knowledge: Excellent programming skills (C++) and proven experience in Linux and ROS are mandatory, knowledge of perception algorithms is a strong plus
  • Languages: Fluent spoken and written in English, good German language skills optional

Additional Information

Start: November 2019 or according to prior agreement
Duration: 6 months

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

Need further information about the job?
Lars Rosenbaum (Business Department)
+49 711 811 17702

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