Deep Learning Engineer (f/m/div.)

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big

• Create, optimize and deploy new and innovative Deep Learning architectures based on LIDAR, RGB, NIR, Radar and/or ToF camera fusion systems.

• Define and interact on innovative sensor fusion system architectures for vehicle interior sensing monitoring;

• Work in close cooperation with Research and innovation team to improve and optimize new solutions;

• Understand and analyze the interplay of hardware, software and algorithm architectures and applications

Qualifications

What distinguishes you

• MSc or Ph.D. in Computer Science, Embedded Systems, Machine Learning or related AI field; 

• At least 1-2 years of relevant experience in the field;  

• Strong programming skills in Python; 

• Strong background in Digital Signal Processing, Computer Vision, Deep Learning; 

• Expertise with transformer-based architectures related to 3D Object Detection; 

• Familiarity with deep learning frameworks (e.g. Tensorflow/PyTorch); 

• Enthusiasm in working on vehicle interior/exterior sensing innovation; 

• Solid technical mindset, teamwork and communication skills. 

• Bonus advantage: knowledge in AI explainability;