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You will be updated with latest job alerts via emailYour contribution to something big:
Create optimize and deploy new and innovative Deep Learning architectures based on RGB LiDAR Radar 2D and 3D point cloud) NIR and fusion systems.
Define and interact on innovative sensor fusion system architectures for autonomous driving;
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
Lead a technical team mentor students interconnect with other teams
Interact with stakeholders and adapt the technical roadmap to development speed and milestones
Qualifications :
What distinguishes you:
MSc or Ph.D. in Computer Science Embedded Systems Machine Learning Mathmatics or related AI field;
At least 35 years of relevant experience in the field;
Strong programming skills in Python;
Strong background in Digital Signal Processing Computer Vision Deep Learning;
Expertise with transformerbased architectures related to Semantic Segmentation or 3D Object Detection;
Familiarity with deep learning frameworks (e.g. Tensorflow/PyTorch);
Enthusiasm in working on autonomous driving innovation;
Solid technical mindset teamwork and communication skills.
Experience with technical leading mentoring others
Additional Information :
Work #LikeABosch includes:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site (psychology and general clinic)
Training opportunities (p.e. technical training foreign languages training) & certifications
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
Sports and health related activities
Great access to public transports
Free transport from Porto
Flexible benefits platform
Free parking lot
Canteen
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
Yes
Employment Type :
Fulltime
Remote