AI Embedded Engineer IV
Tasks
- Build ROS nodes and interfaces
- Build sensor and data collection rigs
- Calibrate sensors and synchronize data
- Debug timing synchronization and coordinate frame issues
- Deploy trained neural networks to embedded CPU and GPU
- Design sensor mounts and wiring harnesses
- Document system performance and limitations
- Fine tune models for field drift
- Integrate LiDAR depth cameras and vision systems
- Profile and tune runtime performance
- Provide technical guidance to engineers
- Provision and configure NVIDIA Jetson platforms
- Troubleshoot electrical and mechanical problems
- Validate model performance on vehicle
- Write Python and C++ bridges for autonomy stack
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Camera Models | Computer Vision | Containers | Coordinate systems | Depth cameras | Docker | Geometric transformations | Git | Latency optimization | Lidar | Linux | Model Quantization | Model export | NVIDIA Jetson | Network deployment | Neural Network | Neural network deployment | Operating System | PyTorch | Python | ROS 2 | Real Time | Real-time Systems | Robot Operating | Robot Operating System | Sensor Calibration | TensorFlow | TensorRT | Testing | Time Synchronization | Time Systems
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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