Algorithm Development Engineer in Deep Learning
vor 2 Monaten
Position Overview
This role is ideal for individuals who desire a position that fosters innovation and provides avenues for career advancement. You will be part of a vibrant team contributing to significant projects while enhancing your expertise.
Key Responsibilities- Refine and enhance the current deep learning framework for electro-optical target identification, tracking, classification, and segmentation utilizing C++ and Python
- Incorporate the framework into a product through C++ coding and hardware optimization
- Innovate new algorithms in the field of artificial intelligence
- Architect system components for air defense applications
- Develop algorithmic software modules using MATLAB
- Draft system and interface specifications
- Evaluate test outcomes, perform analyses, and compile reports
- Bachelor's degree in Computer Science, Data Science, Robotics, or a related discipline
- Comprehensive understanding of artificial intelligence, deep learning, system architecture, and robotics
- Background in image processing, network technologies, electro-optical sensors, measurement technologies, real-time systems, or radar technologies
- Expertise in Linux, C++, and Python programming
- Familiarity with NVIDIA's Jetson series and GStreamer or NVIDIA's DeepStream SDK is advantageous
- Proficient in English and German
- Capability to work autonomously and collaborate effectively within diverse teams
- Flexible working hours with options for remote work
- Comprehensive social benefits and performance-related compensation
- Full salary coverage during illness for the initial period of employment
- Company benefits including retirement plans, stock purchase options, and complimentary flu vaccinations
- Opportunities for customized training and professional development
- Employee amenities such as on-site dining, catering, and shopping facilities
- A variety of additional benefits including insurance products and mobile phone plans
- Personalized training programs through the Rheinmetall Academy
- Support services and social assistance available
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