8 beste Stellen als working student python in münchen, by – aktuell auf Personalsuche

Internship/ Working Student – Digital Hardware Verification (f/m/div)
Infineon Technologies AG —München
- Vollzeit
- Master
- Bachelor
- Scripting
22 Std.
Working Student - Device Characterization and Modeling for Noise (f/m/div)
Infineon Technologies AG —München
- Teilzeit
- Scripting
- Python
1 Tag
Internship Machine Learning (Synthetic Data Generation) (f/m/x)
ZEISS Group —München
- Vollzeit
- Informatik
- Master
- Präsentationserfahrung
1 Tag
Working Student Cybersecurity Management (m/f/d)
Knorr-Bremse —München
- Teilzeit
- Microsoft Powerpoint
- Microsoft Excel
- Englisch
1 Tag
Internship in Machine Learning, Visual Language (Action) Models (f/m/x)
ZEISS Group —München
- Vollzeit
- Informatik
- Master
- Präsentationserfahrung
1 Tag
Master Thesis - Generation of Task-Schedulers for Embedded Systems from High-Level Requirements (f/m/div)
Infineon Technologies AG —München
- Vollzeit
- Informatik
- Master
- Softwareentwicklung
2 Tage
Master Thesis - Creation of an Optimized Lowering Mechanism for Trained Machine Learning Models (f/m/div)
Infineon Technologies AG —München
- Vollzeit
- Informatik
- Master
- Machine Learning
2 Tage
Internship Quantitative Investment Strategies (m/f/d)*
Münchener Rückversicherungs-Gesellschaft —München
- Vollzeit
- Master
- Machine Learning
- Praktikum
- Weiterbildungsprogramme
15 Std.

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Working Student - Device Characterization and Modeling for Noise (f/m/div)
Infineon Technologies AG —München
Data Validation: Validate measured data for accuracy and consistency, including noise data (e.g., PSD and corner frequency).
1 Tag

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Internship/ Working Student – Digital Hardware Verification (f/m/div)

Infineon Technologies AG -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 22 Stunden

Qualifikationen

Git
Elektrotechnik
Master
Bachelor
Computertechnik
Systems Engineering
Scripting
Python

Vollständige Stellenbeschreibung

#WeAreIn to create tiny chips and big careers. The future won’t wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?

Your Role
Key responsibilities in your new role

Develop Verification Models: Model the functional behavior of an IP for the purpose of verification
Functional verification: Verify consistency between the verification model and the RTL IP design using various functional verification methodologies
Formal Model Checking: Use formal model checking tools to prove properties of the RTL design

Your Profile
Qualifications and skills to help you succeed

Field of study: Currently enrolled in a Bachelor's or Master's program in Computer Engineering, Embedded Systems Engineering, Electronics, Electrical Engineering or similar
Skills:
- Strong programming skills in scripting languages (Python preferred)
- Proficiency in hardware description languages such as System Verilog and VHDL
- Version control skills such as GIT are a plus
Experience: Experience with hardware description languages that support temporal logic
descriptions, such as System Verilog Assertions or VLI
Knowledge: Solid understanding of digital hardware design and formal verification
is required; knowledge on formal verification tools such as One Spin or Jasper gold is a plus
Language skills: Fluent English skills, both written and spoken

Please attach the following documents to your application:

CV in English
Certificate of enrollment at university
Excerpt of the study regulations for the internship (if applicable)
Latest grades transcript (not older than 6 months)
High school report

Important information for working students:

Working part-time: The focus is on studies. That’s why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months.
You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.

Contact:
Britta Johansson

Further links:

Find out what we are looking for in your CV
Find out how the student application process works with us
Discover our student website

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.

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Erweiterte Suche

working student python Jobs in münchen, by

Internship/ Working Student – Digital Hardware Verification (f/m/div)

Working Student - Device Characterization and Modeling for Noise (f/m/div)

Internship Machine Learning (Synthetic Data Generation) (f/m/x)

Working Student Cybersecurity Management (m/f/d)

Internship in Machine Learning, Visual Language (Action) Models (f/m/x)

Master Thesis - Generation of Task-Schedulers for Embedded Systems from High-Level Requirements (f/m/div)

Master Thesis - Creation of an Optimized Lowering Mechanism for Trained Machine Learning Models (f/m/div)

Internship Quantitative Investment Strategies (m/f/d)*

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