Working Student AIModel Development
Working Student AIModel Development
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Job Description
We are looking for an Automotive Sensors AI/ML Model Development working student to join our dynamic & innovative winning Team on the exciting journey to become leader on the fastgrowing market of Automotive Sensing. You will be located in Munich Germany.
Our Aim is to make the world better and safer working with cutting edge Technology in a startup spirit.
As a member of our growing team your mission will be to develop and optimize AI/ML models for the dimensioning of impedance sensor elements and their interaction with our flagship impedance sensing IC. Working closely with our design experts and product management team you will play a key role in defining these systems at a granular level ensuring our cuttingedge solutions remain at the forefront of the industry.
This role offers the opportunity to gain handson experience in AI/ML and automotive sensor technologies working on innovative projects that push the boundaries of whats possible
Main Responsibilities
- Collaborate with product managers and technical leads to understand system requirements and implement AI/MLdriven solutions for impedance sensor technology.
- Develop and optimize AI/ML models for the dimensioning and simulation of impedance sensors ensuring scalability and efficiency while reducing development effort.
- Validate and test AI/ML models working closely with crossfunctional teams to collect analyze and interpret data for performance improvements.
- Document the entire AI/ML development process from data collection and preprocessing to model training finetuning and deployment ensuring clarity and reproducibility.
Qualifications :
Experience and skills required: Currently pursuing a degree in Computer Science Electrical Engineering Physics or a related field with a focus on Artificial Intelligence and Machine Learning (AI/ML).
- Demonstrated experience or strong interest in AI/ML particularly in the context of sensor technology or similar applications.
- Familiarity with data analysis and model testing/validation techniques.
- Basic understanding of TinyML and microcontrollers is a plus.
- Strong problemsolving skills and the ability to work independently as well as part of a team.
Effective communication skills in English. Knowledge of German or other languages would be beneficial.
Additional Information :
Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and systemlevel knowhow we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
With a diverse team of over 21000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable powerefficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.
At Renesas you can:
- Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
- Make a real impact by developing innovative products and solutions to meet our global customers evolving needs and help make peoples lives easier safe and secure.
- Maximize your performance and wellbeing in our flexible and inclusive work environment. Our peoplefirst culture and global support system including the remote work option and Employee Resource Groups will help you excel from the first day.
Are you ready to own your success and make your mark
Join Renesas. Lets Shape the Future together.
Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
