20 beste Stellen als student process engineering in münchen – aktuell auf Personalsuche

Master Thesis - Advanced Pin Placement Methodology for ASIC Implementation (f/m/div)
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Allianz —München
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Internship: Software Developer for Medical Cloud Product (w/m/d)
deepeye Medical GmbH —München
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NVIDIA —München
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Allianz —München
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DEU Business Development Intern - 6 Months, Amazon University Talent Acquisition
Amazon EU SARL (Germany Branch) - D70 —München
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Brainlab —München
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Blackwave GmbH —Garching bei München
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MOIA GmbH —München
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Munich Re —München
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Lio —München
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Autodesk —München
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Atira —München
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Working Student HW Evaluation & Design (m/f/d)
ALPS ELECTRIC EUROPE GmbH —Unterschleißheim
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Senior Solutions Architect, Generative and Physical AI - NVAITC
NVIDIA —München
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10 Tage

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Master Thesis - Advanced Pin Placement Methodology for ASIC Implementation (f/m/div)

Infineon Technologies AG -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Machine Learning
Computertechnik
Elektrotechnik

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

Algorithm Integration: Extend existing pin placement methodologies by integrating state-of-the-art optimization and reinforcement learning algorithms
Algorithm Comparison and Investigation: Investigate and compare multiple algorithmic approaches including classical optimization methods, metaheuristic algorithms, reinforcement learning techniques, and hybrid approaches
Metric Development: Develop evaluation metrics and objective functions that capture key physical design goals (wirelength, congestion, timing)
Framework Development: Develop/extend an automated framework for intelligent pin assignment
Performance Benchmarking: Benchmark the developed approaches against traditional pin placement methods
Methodology Validation: Validate the methodology on industry-standard benchmarks and real-world designs

Your Profile
Qualifications and skills to help you succeed

Study field: Pursuing master’s degree in Electrical Engineering, Electronics, Computer Engineering or similar
Experience: Experience with digital design implementation tools such as OpenROAD, Cadence Innovus, Synopsys ICC2, or similar tools and experience with reinforcement learning frameworks
Interests: Knowledge of physical design challenges (congestion overflow, timing closure, signal integrity) and background in machine learning for electronic design automation
Personality:
- Self-motivated and independent: Ability to propose creative solutions and take ownership of research direction
- Proactive problem-solving: Initiative to identify challenges and develop novel approaches independently
Language skills: Very good 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 thesis (if applicable)
Latest grades transcript (not older than 6 months)
Bachelor’s grade report
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

student process engineering Jobs in münchen

Master Thesis - Advanced Pin Placement Methodology for ASIC Implementation (f/m/div)

(Senior) Business Process Manager / Digital Transformation (all genders) (Product Compliance)

Business Development Representative

Business Development Internship (m/f/d)

Training Content & Instructional Design Intern @ AI Startup (Full-time)

Intern In-Car Graphical User Interface Agent (f/m/x)

Intern, AI Governance & Advanced Analytics (m/f/d)

Internship: Software Developer for Medical Cloud Product (w/m/d)

Research Scientist, 3D Computer Vision

Underwriting data intern

DEU Business Development Intern - 6 Months, Amazon University Talent Acquisition

Working Student – Sales & Marketing Operations Orthopedics

Towpreg Production Engineer (all genders) - Composite Materials Aerospace

Senior Compliance Tooling Expert (all genders) Autonomous Vehicles

Intern - Support AI-Driven Underwriting Innovation at Munich Re (m/f/d)*

Core Engineer (all genders)

Workplace Supervisor

Forward Deployed Engineer

Working Student HW Evaluation & Design (m/f/d)

Senior Solutions Architect, Generative and Physical AI - NVAITC

Ich möchte aktuelle Job-E-Mails für Stellen als student process engineering in münchen erhalten

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