Applied Computer Vision Engineer - Data Driven Development

Job Description

The Video Perception (VIPer) team develops perception systems for L2+ Advanced Driver Assistance Systems (ADAS). As an Applied Computer Vision Engineer, you will be involved in the full development lifecycle of the perception stack. You will work on real-world problems by analyzing large datasets, experimenting with Deep Learning models like Convolutional Neural Networks (CNNs) and Transformers, and contributing to production-ready software.

Responsibilities
.Develop, train, and validate deep learning models for perception tasks such as object detection, semantic segmentation, and lane detection.
.Contribute to the design and implementation of experiments, performing rigorous analysis of model performance and identifying failure modes.
.Analyze large-scale, unstructured video data to derive insights and assist in curating high-quality datasets for model training.
.Collaborate with the team to buil...