Sr. Perception Engineer
Tasks
- Architect perception software
- Build MLOps pipelines for model training and deployment
- Build vision inspection pipelines
- Coordinate transforms using TF
- Create label and augmented datasets
- Develop image-processing workflows
- Develop monitoring for system health
- Develop object detection and tracking
- Evaluate third party sensors and algorithms
- Fuse multi-sensor data
- Implement pose estimation and camera calibration
- Implement state machines and schedulers
- Improve release quality with automated tests
- Own vision deployment calibration and updates
- Train and deploy machine learning computer vision models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | C++ | CNN | CUDA | Camera Calibration | Coordinate frames | Data labeling | Dataset Augmentation | DeepSORT | Docker | Edge detection | GPU Computing | Git | ICP | Image Processing | Kalman Filter | Linux | MLOps | Machine Learning | Neural Networks | Nvidia DeepStream | Object Detection | Object Tracking | OpenCV | PnP | Pose Estimation | PyTorch | Python | ROS | Sensor fusion | Sort | TF | Vertex AI | Visual Odometry
Education
Roles
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