Fraunhofer-Gesellschaft
Student assistant: Software Developer for Data-Driven Applications(m/w/x)
Part-timeWorking StudentOn-site
Aachen
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NVNVIDIA Germany
Developer Technology Intern, ARM SoC AI Platform(m/w/x)
Würselen
Part-timeInternshipOn-site
AI/ML
Nejo AI Summary
You will work alongside world-class engineers to develop AI solutions on ARM platforms, gaining hands-on experience with supercomputers while supporting partners and presenting your findings.
Requirements
- Passion for AI and visual computing
- Degree in Computer Science, Electrical Engineering, or related field
- Knowledge of C/C++, Python, and development tools
- Knowledge of ARM architecture and development
- Proficiency in Linux and/or Windows
- Ability to focus in energizing environments
- Strong time-management and organization skills
- Highly organized and independent worker
- Flexible availability and reliable work attitude
- Proficiency in English
Tasks
- Collaborate with world-class engineers
- Develop ideas for NVIDIA AI technology
- Enable enterprise ARM workflows
- Experiment with NVIDIA DGX Spark
- Develop proof-of-concepts on AI supercomputers
- Support partners with AI application migration
- Document technical work and findings
- Present results to internal teams
Education
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
C/C++PythonARMLinuxWindows
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA Germany 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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NVNVIDIA Germany
Developer Technology Intern, ARM SoC AI Platform(m/w/x)
Würselen
Part-timeInternshipOn-site
AI/ML
Nejo AI Summary
You will work alongside world-class engineers to develop AI solutions on ARM platforms, gaining hands-on experience with supercomputers while supporting partners and presenting your findings.
Requirements
- Passion for AI and visual computing
- Degree in Computer Science, Electrical Engineering, or related field
- Knowledge of C/C++, Python, and development tools
- Knowledge of ARM architecture and development
- Proficiency in Linux and/or Windows
- Ability to focus in energizing environments
- Strong time-management and organization skills
- Highly organized and independent worker
- Flexible availability and reliable work attitude
- Proficiency in English
Tasks
- Collaborate with world-class engineers
- Develop ideas for NVIDIA AI technology
- Enable enterprise ARM workflows
- Experiment with NVIDIA DGX Spark
- Develop proof-of-concepts on AI supercomputers
- Support partners with AI application migration
- Document technical work and findings
- Present results to internal teams
Education
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
C/C++PythonARMLinuxWindows
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA Germany 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.
About the Company
NVIDIA Germany
Industry
IT
Description
The company develops deep learning platforms that significantly impact the industry and are widely used across various sectors.
Not a perfect match?
- Fraunhofer-Gesellschaft
Student assistant: Software Developer for Data-Driven Applications(m/w/x)
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Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain(m/w/x)
Part-timeWorking StudentOn-siteAachen - Fraunhofer-Gesellschaft
Student assistant: FEM Simulation and Programming(m/w/x)
Part-timeWorking StudentOn-siteAachen - FIR e. V. an der RWTH Aachen
Master's thesis: Adaptation of MLOps for the integration of AI/ML in maintenance(m/w/x)
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