Algorithm Engineer – Edge AI & Real-Time Computer Vision

Key Responsibilities

• Develop real-time video processing algorithms
• Work on challenges such as tracking, motion estimation, and perception
• Design and improve algorithms for video sequence analysis
• Combine classical Computer Vision techniques with Deep Learning models
• Work on complex systems integrating multiple sensors and data sources
• Optimize performance for real-time environments (latency, throughput)

Requirements

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Mathematics, or a related field
• Proven experience developing Computer Vision algorithms
• Experience working with video / sequences (not only static images)
• Hands-on experience with motion-related problems
• Practical experience in one or more of the following:
• Tracking
• Motion estimation
• SLAM
• Pose estimation
• Sensor fusion
• Strong Python programming skills
• Experience with PyTorch or TensorFlow

Advantages

• Experience working on real-time systems
• Familiarity with latency constraints and performance optimization
• Experience with Edge devices
• Experience with multi-sensor systems
• Strong background in algorithms (estimation, filtering, geometry)

Additional Details

• Full-time position
• Hybrid work model (2 days from home)