Principal Computer Vision Engineer
Tasks
- Analyze tracking accuracy and build quality metrics
- Convert and optimize models for edge accelerators
- Develop motion recognition and movement analysis algorithms
- Extend tracking and motion recognition for new movements
- Lead and mentor small engineering team
- Own computer vision and tracking pipeline
- Train optimize and deploy neural networks
- Validate and improve athlete performance insights
Perks/Benefits
Skills/Tech-stack
3D Geometry | 3D Perception | ARM | Biometrics | C# | C++ | Camera Models | Classification | Computer Vision | Depth cameras | Docker | Edge AI | Embedded Linux | Filtering | Human movement | Human movement analysis | Inference Optimization | Machine Learning | Model Conversion | Movement analysis | Neural Networks | Object Tracking | Optimization | Pose Estimation | Python | Real Time | Real-time Systems | Segmentation | State Estimation | Structured light | Systems debugging | Time Systems | Time-of-Flight
Education
N/A
Regions
Countries
States
Cities
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