Computer Vision Engineer - Edge Robotics & Perception
Tasks
- Deploy test and iterate models on Jetson
- Design object detection pipelines
- Implement preprocessing augmentation and post processing
- Implement semantic instance segmentation pipelines
- Implement tracking pipelines
- Integrate perception outputs with autonomy logic
- Manage and evaluate datasets
- Optimize models for edge deployment
- Train and evaluate deep learning models
- Validate real-world model performance
Perks/Benefits
- 401k participation
- Company-Paid Holidays
- Dental and vision
- Health care coverage
- Life and disability protection
- Onsite work
- Stock compensation eligibility
- Travel required
- Unlimited paid time off
Skills/Tech-stack
AWS | Active Learning | Camera Calibration | DVC | Depth Estimation | Distortion Correction | Docker | Embedded Linux | Few-Shot Learning | Few-shot | GCP | Inference profiling | Instance Segmentation | Jetson | Jetson Nano | Jetson Orin | Jetson Xavier | MLflow | Multi Camera | Multi-camera fusion | Object Detection | Point Cloud | Pruning | PyTorch | Python | Quantization | ROS2 | Semantic Segmentation | Semi-Supervised Learning | Semi-supervised | Stereo vision | Supervised Learning | Temporal synchronization | TensorFlow | TensorRT | TorchScript | Tracking | Weights and Biases
Education
Roles
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