We are looking for team members to join our Research and Development activities in the field of Artificial Intelligence Software Technologies. Applicants will be evaluated for positions aligned with their expertise in areas such as Computer Vision, Image Processing, Deep Learning, Machine Learning and Large Language Model Applications.
General Qualifications:
• Bachelor's degree (or current enrollment in MSc/PhD programs) in Computer Engineering, Software Engineering, Mathematics, Electronics, Mechatronics, Aerospace, Aeronautical, Control Engineering or related disciplines
• Proficiency in English with the ability to comprehend and interpret technical documentation
• Strong command of programming languages such as C++ and Python
• Solid knowledge of Algorithm Analysis and Data Structures
• Experience and understanding of software development and testing processes
• Strong foundation in natural sciences, especially mathematics, physics and geometry
• Ability to analyze complex problems and develop effective solutions
• Familiarity and hands-on experience with libraries and development tools used in machine learning and deep learning
• Experience with large datasets, data labeling, data analysis and model training
• Capable of adapting to a dynamic work environment and flexible working hours
• Strong sense of responsibility and ability to work effectively in a team setting
Preferred Qualifications:
• Experience working with large language models, including fine-tuning, prompt engineering and task-specific adaptation
• Practical experience in classical and deep learning-based image processing techniques
• Hands-on knowledge in areas such as SLAM, visual navigation and route planning
• Proficiency with frameworks such as TensorFlow, Keras and PyTorch
• Experience in high-performance parallel computing on both GPU and CPU architectures
• Proficiency in development within Linux environments
• Experience in audio processing and related modeling techniques
• Knowledge and experience in the development and use of real-time systems