Fraunhofer-Gesellschaft
Studentische Hilfskraft im Bereich Machine Learning(m/w/x)
Part-timeWorking StudentWith Homeoffice
Dresden
New Job?Nejo!
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NXNXP
Working Student Radar Software & Systems(m/w/x)
Dresden
from 18.9 / hour
Part-timeWorking StudentWith Home Office
AI/ML
Nejo AI Summary
Designing embedded software and applying ML to automotive radar systems. Strong programming in Python, C, or C++ required. Flexible working hours, 30 vacation days.
Requirements
- Enrolled student in Computer Science, Electrical Engineering, or comparable field
- Good foundation in software engineering, embedded systems, or signal processing
- Programming experience in Python, C, and/or C++
- Good command of English (written and spoken)
- Reliable and structured working style, with initiative and commitment
- Ability to work independently and collaboratively in a team
- Conscious and reliable working style
Tasks
- Design embedded software
- Process digital signals for radar systems
- Apply machine learning to radar and perception
- Implement DevOps and CI/CD practices
- Contribute to production-relevant systems
- Collaborate with experienced engineers
- Handle security-related tasks
- Support security certifications
- Work reliably and conscientiously
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- C++
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 vacation days per year
Other Benefits
- Networking initiatives
- Young Community
- No Extra Planet
- NXP Equal
- Women in NXP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NXP 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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NXNXP
Working Student Radar Software & Systems(m/w/x)
Dresden
from 18.9 / hour
Part-timeWorking StudentWith Home Office
AI/ML
Nejo AI Summary
Designing embedded software and applying ML to automotive radar systems. Strong programming in Python, C, or C++ required. Flexible working hours, 30 vacation days.
Requirements
- Enrolled student in Computer Science, Electrical Engineering, or comparable field
- Good foundation in software engineering, embedded systems, or signal processing
- Programming experience in Python, C, and/or C++
- Good command of English (written and spoken)
- Reliable and structured working style, with initiative and commitment
- Ability to work independently and collaboratively in a team
- Conscious and reliable working style
Tasks
- Design embedded software
- Process digital signals for radar systems
- Apply machine learning to radar and perception
- Implement DevOps and CI/CD practices
- Contribute to production-relevant systems
- Collaborate with experienced engineers
- Handle security-related tasks
- Support security certifications
- Work reliably and conscientiously
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- C++
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 vacation days per year
Other Benefits
- Networking initiatives
- Young Community
- No Extra Planet
- NXP Equal
- Women in NXP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NXP 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
NXP
Industry
Automotive
Description
NXP develops forward-looking solutions for model protection, privacy-preserving ML, security for agentic AI, and anomaly detection for integration into Edge products.
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