Working Student AI/Model Development

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 fast-growing 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 start-up 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 cutting-edge solutions remain at the forefront of the industry.

This role offers the opportunity to gain hands-on experience in AI/ML and automotive sensor technologies, working on innovative projects that push the boundaries of what's possible,

Main Responsibilities

• Collaborate with product managers and technical leads to understand system requirements and implement AI/ML-driven 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 cross-functional 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, fine-tuning, 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 problem-solving 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 industry’s leading expert in embedded processing with unmatched quality and system-level know-how, 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 21,000 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, power-efficient 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 people’s lives easier, safe and secure.

• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first 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. Let’s 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.