Internship in Big Data analysis and LLM training in ASIC test development

Kusterdingen, BW, Germany

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Bosch Group

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Company Description

Bosch Sensortec GmbH develops and markets key technologies in consumer electronics – micro-electro-mechanical sensors (MEMS), solutions and systems for smartphone applications, tablets, video game consoles, wearables, and the Internet of things. The sensors enable devices to recognize their surroundings and to transmit the data collected. MEMS are therefore part of the foundation for a networked world. Bosch Sensortec GmbH is a wholly owned subsidiary of Robert Bosch GmbH. 

The Bosch Sensortec GmbH is looking forward to your application!

Job Description

  • You will use Python-based tools for the processing, visualization, and analysis of ASIC characterization data.
  • You are conducting LLM training for the development of ASIC wafer-level-test items.
  • Last but not least, you will be performing lab measurements on a new generation of inertial ASICs.

Qualifications

  • Education: Master studies in the field of Information Technology, Computer Science or similar
  • Experience and Knowledge: in data analysis with Python, experience with AI training
  • Personality and Working Practice: you are a responsible, proactive and goal-oriented person
  • 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?
Zhonglei Zhou (Functional Department)
+49 7121 35 34593

#LI-DNI

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Tags: Big Data Computer Science Data analysis LLMs Python

Region: Europe
Country: Germany

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