Perception Engineer

BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering, or related field.
Practical experience shipping working perception systems.
5+ years of research and industry experience in machine/deep learning and computer vision.
Strong proficiency in Python (core language for development).
Experience with deep learning frameworks (preferably PyTorch or TensorFlow).
Expertise in ROS (Robot Operating System) or similar robotics frameworks.
Hands-on experience working with hardware and sensors.
Strong software development skills, with a focus on deploying production-ready code.

Explore and integrate new sensors, particularly cameras, to improve robot perception.
Develop and optimize perception models (detection, segmentation, classification) using classical and deep learning techniques.
Calibrate cameras and refine sensor alignment for accurate real-world performance.
Work on ML infrastructure, including data collection, annotation, and model training pipelines.
Implement sensor fusion techniques to combine data from multiple sources.
Develop tracking algorithms to improve object identification and movement prediction.
Manipulate 3D geometry, including point cloud processing and camera transforms.
Scale and refine perception infrastructure to support our company’s growth.
Collaborate with the robotics team to transition to modern platforms and technologies.
Develop new perception models to support expanding customer needs and meal types.
Improve and scale our perception infrastructure to meet growing demand.
Assist in integrating new cameras and sensors for enhanced robotic vision.
Contribute to system-wide improvements that increase efficiency and accuracy.