Swarmbotics AI is seeking to design, develop, implement, and own cutting-edge off-road, terrain-aware navigation systems for autonomous DoD ground vehicles
Requirements
- Python, PyTorch, C++, ROS, ONNX, TensorRT
- Familiarity with modern ML / computer vision tools such as OpenCV, Numpy, and Pillow
- Strong mathematical foundation of neural networks, transformers, convolutional networks, and statistics
Responsibilities
- Design, implement, train, and test multiple deep learning models including: Deep computer vision models, Dense disparity prediction models, Reinforcement learning models, Vision Language Action (VLA) models, Object detection and panoptic segmentation models
- Optimize models to run real-time on edge devices (Jetson Orin) through model quantization and distillation
- Deploy trained models in the field
- Write robust Python, PyTorch, and C++ code
- Work collaboratively across multiple teams such as SLAM/localization, navigation, tracking, and swarm intelligence
Other
- Minimum 2 years industry experience in ML related field
- Bachelor's degree in computer science, math, or related field
- Ability to relocate to Phoenix, AZ area
- Strong organization and communication skills to work well across teams in a fast-paced startup environment
- Comfort working in the high-paced, fluid environment of a tech startup