AVAT
Praktikum: Software-Entwicklung für Embedded Systeme(m/w/x)
Full-timeInternshipWith Homeoffice
Tübingen
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BOBosch Group
Internship Embedded AI Engineering(m/w/x)
Reutlingen
Full-timeInternshipWith Home Office
AI/ML
Nejo AI Summary
Designing ML algorithms for embedded systems at Bosch. Expertise in embedded systems and machine learning required. Contribute to product development, analyze feasibility, and deploy algorithms to devices.
Requirements
- Master's degree in Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or comparable
- Expertise in embedded systems and machine learning/deep learning
- Programming experience in Python and C
- Motivated, independent, and structured work style
- Creative and communicative team player
- Enthusiasm for artificial intelligence
- Interest in software and system development
- Enjoyment of experimenting with prototypes
- Very good English skills
- Current enrollment at university
- Attachment of CV, transcript, enrollment certificate, examination regulations, and work/residence permit if applicable
Tasks
- Contribute to Bosch product development
- Design ML algorithms for embedded systems
- Analyze feasibility of ML algorithms
- Implement and optimize ML algorithms
- Deploy algorithms to embedded devices
- Benchmark algorithm implementations
- Build end-to-end demo for on-device inference
- Collaborate with cross-functional teams
- Translate research into deployable solutions
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- embedded systems
- machine learning
- deep learning
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Internship Embedded AI Engineering(m/w/x)
Reutlingen
Full-timeInternshipWith Home Office
AI/ML
Nejo AI Summary
Designing ML algorithms for embedded systems at Bosch. Expertise in embedded systems and machine learning required. Contribute to product development, analyze feasibility, and deploy algorithms to devices.
Requirements
- Master's degree in Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or comparable
- Expertise in embedded systems and machine learning/deep learning
- Programming experience in Python and C
- Motivated, independent, and structured work style
- Creative and communicative team player
- Enthusiasm for artificial intelligence
- Interest in software and system development
- Enjoyment of experimenting with prototypes
- Very good English skills
- Current enrollment at university
- Attachment of CV, transcript, enrollment certificate, examination regulations, and work/residence permit if applicable
Tasks
- Contribute to Bosch product development
- Design ML algorithms for embedded systems
- Analyze feasibility of ML algorithms
- Implement and optimize ML algorithms
- Deploy algorithms to embedded devices
- Benchmark algorithm implementations
- Build end-to-end demo for on-device inference
- Collaborate with cross-functional teams
- Translate research into deployable solutions
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- embedded systems
- machine learning
- deep learning
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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