Software Engineer, Fleet Mapping
JOB DESCRIPTION:
The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, mapping, and tracking systems.
You will be a contributor to Zoox s offline mapping initiative. High-definition semantic maps are critical for enabling fully autonomous driving at scale. You will design, train, validate, and integrate models that detect semantic map elements in the world. The priority will be to enable scalable mapping pipelines through automated mapping of new features.
Responsibilities:
Research, implement, and train ML models to perform semantic map element detection
Curate, validate, and label datasets for model training and validation
Integrate models into the greater offboard mapping pipeline and lead automation of new mapping features
Leverage ML infrastructure to speed up development and deployment of ML models
Closely collaborate with validation teams to formulate and execute model validation pipelines
Qualifications:
5+ years C++ experience
Strong understanding of networking protocols, ideally UDP
Experience working with highly resilient distributed systems
Excellent communication skills
Bonus qualities:
Experience with any of the following:
Any robotics experience or 3D computer vision experience is a bonus
Any mapping experience is a bonus