Working Student Embedded Systems (all genders)
diconium
Office
Stuttgart, Germany
Part Time
Join our global team of experts
For over 30 years, we at Diconium have been driving digital business transformation across various industries. In our business unit, Diconium auto, we focus on bringing software to the road. Our solutions make cars safer, smarter, and more intuitive. We create features that deliver an unforgettable driving experience. With our expertise in cybersecurity, infotainment, and autonomous driving, we support our clients on their journey to becoming truly software-driven automotive companies.
Join our team to shape the future of mobility with software that moves.
WHAT WE OFFER
Are you curious about the intersection of embedded systems and artificial intelligence? Do you want to gain hands-on experience in a dynamic, forward-thinking tech environment while continuing your studies? Then we’d love to hear from you!
We’re looking for a motivated working student (all genders) to support our project team in integrating and applying AI technologies within embedded software development and validation. You’ll contribute to real-world innovation and help shape the future of intelligent systems.
You conduct research on current AI models and algorithms relevant to embedded applications.
You analyze use cases and best practices from academic and industry sources.
You help maintain and expand a knowledge database based on pilot project insights.
You benchmark AI models and derive actionable recommendations.
You analyze test results and prepare reports and comparison studies.
You define and implement KPIs to measure the success of AI initiatives.
You visualize and interpret datasets to support decision-making.
You support testing and fine-tuning of AI models, including preparing test data.
You contribute to meetings and workshops with ideas and technical input.
You assist with documentation, presentations, and organizational tasks.
WHAT YOU BRING
You are currently enrolled in a degree program in Computer Science, Electrical Engineering, Mechatronics, Data Science, or a related field - and available for at least two more semesters.
You have initial experience with machine learning model training and evaluation.
You’re familiar with AI/ML concepts (e.g., neural networks) and have hands-on experience with Python and frameworks like TensorFlow or PyTorch.
You’re confident using Python and Excel for data analysis and visualization.
You work in a structured and independent way, ideally with experience in agile environments.
You have strong analytical skills and can communicate complex information clearly.
You’re proactive, team-oriented, and enjoy contributing to interdisciplinary projects.
You’re proficient in German and in English (written and spoken).
WHAT WE HAVE TO OFFER
Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.
Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts.
WHAT WE VALUE
At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.
If you have any questions, feel free to reach out.
Your contact person is
Working Student Embedded Systems (all genders)
Office
Stuttgart, Germany
Part Time
August 8, 2025