Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context
Understand and curate real and synthetic datasets to improve our models
Perform latency optimization and deploy models to our robot fleet
Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work
Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarios

Requirements

5 years of industry experience or more
Proficiency in Python and some knowledge in C++
Deep Learning expertise, preferably with panoptic segmentation experience
Experience developing multi-sensor fusion algorithms for object detection, panoptic segmentation or object tracking
Familiar with Transformer architecture

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++Deep LearningMulti-sensor fusionObject detectionPanoptic segmentationObject trackingTransformer architectureLatency optimizationModel deployment

Soft Skills

CollaborationProblem-solvingPrioritizationCommunicationAnalytical thinking