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

Infineon Technologies AG -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 2 Tagen

Qualifikationen

Rust
Informatik
Elektrotechnik
Master
C
Machine Learning
Softwareentwicklung
Elektrotechnik
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

Model Transformation Development: Studying different approaches towards turning machine learning models into executable code for embedded devices
Model Abstraction Design: Research and design a formal abstraction to capture a tool independent view of the underlying models
Code Implementation: Research and implement a transformation from the models into executable embedded code via an existing tool chain
Team Collaboration: Collaborating with our team to ensure a smooth integration and knowledge transfer

Your Profile
Qualifications and skills to help you succeed

Study Field: Master's student in Computer Science, Electrical Engineering, or similar
Experience: Experience with software development and code generation
Skills: Strong Programming skills in Python and programming skills in C or Rust
Knowledge: Good understanding of programming and programming languages
Personality: Excellent problem-solving skills and attention to detail
Way of working: Ability to work independently and collaboratively in a team
Availability: You are available for an upfront internship to get familiar with some of techniques before the thesis starts
Language skills: Fluent English skills, both written and spoken; German is a plus

Please attach the following documents to your application:

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

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

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

Core Engineer (all genders)

Werkstudent im Bereich Investment Risk Management (m/w/d)

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

(Senior) Automotive Cyber Security Test Manager (all genders)

Forward Deployed Engineer

Senior Backend Engineer (all genders) - Vehicle Foundation

Senior Software Engineer (m/f/d)

Senior Software Engineer (m/f/d) Vehicle Grid Integration

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