Software Engineer, Perception Attributes Auto-Labeling Pipeline

About this kind of role

What a Software Engineer, Perception Attributes Auto-Labeling Pipeline usually does. The employer's own details are in the listing.

Typically does: This role involves developing and maintaining software pipelines for automatically labeling perception attributes from sensor data, often in the context of autonomous systems. Responsibilities include designing, implementing, and testing algorithms to extract and categorize attributes like object type, pose, and scene characteristics. The engineer will collaborate with perception and data annotation teams to improve pipeline accuracy and efficiency, and may also be involved in integrating the pipeline into larger development workflows. Continuous improvement and optimization of existing systems are also common tasks.

Tools and skills: Proficiency in programming languages like Python and C++, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with data processing tools and cloud platforms are typically required.

Good fit for: Individuals with a strong background in computer vision, machine learning, and software development, and a passion for building robust and scalable data processing systems, often thrive in this position.