Stack is developing revolutionary AI and advanced autonomous systems for autonomous trucking.
Dynamic World Perception team responsible for real-time detection and classification of road actors and properties.
Lead development, maintenance, and enhancement of long-range detection capabilities and occupancy networks.
Expand and fuse detection models, improve model frameworks, architecture, and data pipelines.
Develop robust onboard software optimized for real-time, resource-constrained, safety-critical environments.
Drive cross-functional features from problem statement to delivery and contribute to technical direction.
Align stakeholders, present effectively, and lead challenging technical topics to build consensus.
Requirements
Extensive experience architecting, training, and deploying deep learning models into real-world environments.
Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.