Computer Vision Specialist

Siemens is hiring for the role of Computer Vision Specialist!

Responsibilities of the Candidate:

• Designing and developing state-of-the-art computer vision solutions for integration into service and design applications.
• Collaborating within cross-functional teams to coordinate and integrate computer vision methods and technologies across different fields of application.
• Driving further adoption of computer vision applications across the company through knowledge sharing, demonstration of state-of-the-art concepts, and supporting technical training.
• Staying informed about the latest developments in computer vision, machine learning, and data science, and proactively identifying opportunities to apply these technologies to solve real-world problems in the energy industry.
• Collaborating in a partner ecosystem across industry and academia to drive research and leverage know-how in this field.
• Documenting the developed methods and :processes and presenting results to stakeholders across the organization on a regular basis.

Requirements:

• University degree in Computer Science, Mathematics, Physics, Engineering, or a related field with a focus on computer vision or image processing.
• Excellent analytical skills and profound expertise in modern computer vision techniques, including object detection, semantic and instance segmentation, feature extraction, and 3D reconstruction.
• Strong programming skills in C/C++, Python, or other relevant languages, with experience in computer vision libraries and machine learning frameworks, and familiarity with GPU programming.
• Good mathematical and 3D geometry background, featuring a robust foundation in linear algebra, optimization, and an understanding of 3D geometry and computer graphics, along with knowledge of sensor technologies.
• Strong customer focus and excellent interpersonal skills, open-minded and willing to learn.
• Ability to effectively collaborate in multidisciplinary, multinational, global teams.
• Fluent in written and spoken English, with excellent communication and presentation skills.
• Enthusiastic about data and analytics, driving the use of data across all parts of a business and ecosystem.