Tomorrow is our home.
Start swiftly and grow fast at BSH Home Appliances Group: As a leading manufacturer of home appliances and solutions, we move things forward to make people’s lives easier. With our global brands Bosch, Siemens, Gaggenau and Neff as well as our local brands, there is a world of opportunities for you to discover. We encourage people to develop their potential and never stop learning. After all, we believe that great work is the result of doing what you love. Join us now and give your career a home.
Master-Thesis: Optimizing Deep Learning Inference on Embedded Systems
BSH Hausgeräte GmbH |
Munich
| Full time
|
Your responsibilities
Are you well-versed in theory and now looking for practical experience in a dynamic company? Then use your talent and expertise to help us with the following tasks
- You support us in the area of research and development in AI-based solutions for embedded hardware
- Acquire an overview of the existing scientific literature in a specific topic we decide on together
- Work on the implementation and optimization of state-of-the art algorithms in that domain
- Integrate new ideas to enhance the algorithms and benchmark against existing approaches on the embedded hardware
Your profile
- Student in the field of Computer Science, Electrical Engineering, Physics or similar
- Experience in programming Python (Tensorflow, Tensorflow-Lite or PyTorch) and C/C++ on embedded devices
- Good knowledge in the fields of deep learning, computer vision and/or embedded devices
- Willingness to learn and a self-responsible working attitude
- Fluent in English, basic knowledge of German
Your benefits
- Pleasant work environment in a dynamic, motivated team
- International work environment
- Attractive employer benefits and pay
- Felxibility, Homeoffice
Find a new home for your professional ambitions:
Apply online now
